ai.mcpanalytics/analytics

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The statistical analyst in your AI chat — validated, citable, re-runnable analysis of your data.

JSON report • Policy • Badge metadata • History API • • Global feed

Decision: Allow with approval

Why: exec-capable tools + no confirmation safeguards + high-risk tools need review + unauthenticated behavior not proven

Next: export policy, require approval for writes, add authenticated validation

EXECUTIVE VERDICT

Executive verdict

Production trust decision: Allow with approval

Reason: exec-capable tools + no confirmation safeguards + high-risk tools need review + unauthenticated behavior not proven

Next action: export policy, require approval for writes, add authenticated validation

Production decision

Allow with approval

exec-capable tools + no confirmation safeguards + high-risk tools need review + unauthenticated behavior not proven

Current score

71.2

Snapshot trustsnap_8d0c8c0e529eb5e3

Next action

export policy, require approval for writes, add authenticated validation

Claim the profile to add evidence, trigger validation, and configure monitoring.

Compare alternatives Export policy Open report JSON

Observed Attention

No observed attention

No observed attention in the current 30-day window.

No segmented attention signals observed in the current window.

Bucketed signal based on recent segmented Verify telemetry. Crawler and evaluator activity is not treated as confirmed human demand.

Evidence Tool risk Compatibility Policy History Badge Raw report

Status

Healthy

Score

71.2

Transport

streamable-http

Tools

Current trust snapshot

Snapshot ID

trustsnap_8d0c8c0e529eb5e3

Use this ID to compare server page, report, policy, MCP, homepage, ranking, and shortlist surfaces.

Snapshot generated

Aug 01, 2026 01:31:30 PM UTC

All page, report, policy, and MCP surfaces use this same server-detail snapshot shape.

Last validated

Jul 31, 2026 06:46:27 AM UTC

Age: 30.75h • freshness band: Verified in last 7d • display score: 71.22

Production trust decision

Allow with approval

exec-capable tools + no confirmation safeguards + high-risk tools need review + unauthenticated behavior not proven

Readiness class

Safe for evaluation

The server is suitable for evaluation, but remaining gaps should be resolved before broad production use.

Canonical machine links

Compare index

/compare.json

Compare API

/v1/compare?server=ai.mcpanalytics%2Fanalytics

Trust summary

/v1/servers/ai.mcpanalytics/analytics/trust-summary

Report JSON

/v1/servers/ai.mcpanalytics/analytics/report

Policy export

/v1/servers/ai.mcpanalytics/analytics/policy

Badge metadata

/v1/servers/ai.mcpanalytics/analytics/badge

Ledger evidence

/v1/servers/ai.mcpanalytics/analytics/ledger

Human compare URL

/compare?server=ai.mcpanalytics%2Fanalytics

SERVER OWNER FUNNEL

Own this MCP?

Claim ownership, prove control with a GitHub, DNS, HTTP, MCP metadata, or email-domain challenge, revalidate now, publish a badge, configure monitoring, and unlock a verified server profile.

1. Claim

unclaimed

with GitHub, DNS, or HTTP challenge instructions.

2. Revalidate

POST /v1/servers/ai.mcpanalytics/analytics/revalidate

Verified owners get priority queueing after proof succeeds.

3. Badge

Verified by MCP Verify - score 71.2 - last checked Jul 31, 2026

4. Monitor

Continuous Verify plan is self-serve: choose a tier, configure watches, add authenticated validation, trigger revalidation, and use the badge.

Paid profile

Verified Server Profile

Add verified publisher identity, security metadata, evidence packs, badge customization, and owner analytics without buying a better score.

Badge embed

[![Verified by MCP Verify](https://verify.sentinelsignal.io/badge/ai.mcpanalytics/analytics.svg)](https://verify.sentinelsignal.io/servers/ai.mcpanalytics/analytics)

MCP TrustOps

TrustOps turns this report into operational controls: freshness SLAs, authenticated validation, semantic benchmarks, policy exports, alert subscriptions, badges, cost/compliance metadata, and runtime routing. Fresh trusted index decisions stay separate from long-tail inventory so stale scores do not masquerade as current evidence.

Freshness band

Verified in last 7d

Policy SLA: 168.0h • confidence-weighted score: 38.0 • stale score suppressed: ✕

Policy exports

Export policy

Formats: json, rego, yaml, github_action, gateway_config, client_report

Runtime routing

/v1/decide

Returns allowed tools, blocked tools, approval requirement, and reason.

Hosted runtime

Verify Hosted MCP

Deploy trusted servers from GitHub with secrets, egress controls, releases, rollback, and audit events.

Authenticated validation

Premium publisher feature: paid authenticated runs verify scopes, write-action safeguards, and authorized tool execution.

Active trust badges

Freshly Validated OAuth Verified OpenAI App Compatible Claude Remote MCP Compatible No Critical Risk

Semantic benchmarks

available

Templates cover GitHub, database, healthcare, web search, and CRM least-privilege jobs.

Supply chain

metadata signal

Deep scan checks are marked separately from public metadata signals.

Compliance metadata

Terms, privacy, SOC 2, HIPAA, GDPR, retention, deletion, and audit-log fields are tracked as enterprise metadata.

Alert subscription types

Status changes Score drops or recovers Freshness SLA breach Validation schema drift OAuth or auth behavior changes Tool surface changes New or changed write tool Supply-chain signal changes Legal or compliance metadata changes

MCP Runtime hosting

Verify Hosted MCP turns a trusted server report into a managed remote MCP endpoint with GitHub deployment provenance, sandbox policy, encrypted secrets, release history, rollback, and audit/usage events.

Activation readiness

✓

Trusted hosted runtimes require fresh validation, a passing server state, a remote endpoint, and a minimum score.

Minimum tier

TrustOps

Publisher claim plus paid TrustOps tier are required before secrets or releases can be created.

Hosted endpoint

/hosted/{namespace}/{name}/mcp

The endpoint enforces egress allowlists and records audit/usage events.

Blockers

none

Deployment	Status	Endpoint	Release
No hosted runtime deployments yet.

Production readiness class

Safe for evaluation

The server is suitable for evaluation, but remaining gaps should be resolved before broad production use.

Critical alerts

Production verdicts degrade quickly when critical alerts are active.

Evidence confidence

Confidence score

59.2

Based on 1 recent validations, 26 captured checks, and validation age of 30.8 hours.

Live checks captured

More direct checks increase trust in the current verdict.

Validation age

30.8h

Lower age means fresher evidence.

Recommended for

OpenAI connectors

OpenAI connectors is marked compatible with score 89.

Claude Desktop

Claude Desktop is marked compatible with score 83.

Smithery

Smithery is marked compatible with score 80.

Generic Streamable HTTP

Generic Streamable HTTP is marked compatible with score 100.

Client compatibility verdicts

Client compatibility only means the server shape can work with a client. Production trust decision and write-action publishing are evaluated separately so a client-compatible server can still be blocked for production.

Client compatibility: ChatGPT

Client-compatible

Transport compliance should be in good shape.

Confidence: medium (59.25)

Evidence provenance

Winner: live_validation

Supporting sources: live_validation, history, server_card

Disagreements: none

initialize • OK
tools_list • OK
transport_compliance_probe • Error
step_up_auth_probe • Warning
connector_replay_probe • Missing — Frozen tool snapshots must survive refresh.
request_association_probe • Missing — Roots, sampling, and elicitation should stay request-scoped.

Client compatibility: Claude

Client-compatible

Transport behavior should match Claude-compatible HTTP expectations.

Confidence: medium (59.25)

Evidence provenance

Winner: live_validation

Supporting sources: live_validation, history, server_card

Disagreements: none

initialize • OK
tools_list • OK
transport_compliance_probe • Error

Write-action publishing

Publishing blocked

Blocked until safeguards and confirmation semantics are verified for write, exec, or destructive tools.

Confidence: medium (59.25)

Evidence provenance

Winner: live_validation

Supporting sources: live_validation, history

Disagreements: none

action_safety_probe • Error

Snapshot churn risk

Low

No material tool-surface churn detected in the latest comparison.

Confidence: medium (59.25)

Evidence provenance

Winner: history

Supporting sources: history, live_validation

Disagreements: none

tool_snapshot_probe • Missing
connector_replay_probe • Missing

Why compatibility is limited by client

ChatGPT custom connector

Client-compatible

Remediation checklist

Transport compliance should be in good shape.
search fetch only is not yet satisfied
admin refresh required is not yet satisfied
safe for company knowledge is not yet satisfied
safe for messages api remote mcp is not yet satisfied
Transport compliance issues should be resolved before wider client rollout.

Claude remote MCP

Client-compatible

Remediation checklist

Transport behavior should match Claude-compatible HTTP expectations.
search fetch only is not yet satisfied
admin refresh required is not yet satisfied
safe for company knowledge is not yet satisfied
safe for messages api remote mcp is not yet satisfied
Transport compliance issues should be resolved before wider client rollout.

Write-safe publishing

Blocked

Remediation checklist

Add confirmation or dry-run semantics for risky actions.
Constrain or sandbox exec-capable tools before publishing broadly.

Verdict traces

Production verdict

Safe for evaluation

The server is suitable for evaluation, but remaining gaps should be resolved before broad production use.

Confidence: medium (59.25)

Winning source: live_validation

Triggering alerts

validation_stale • medium • Validation evidence is outside TrustOps SLA

Client verdict trace table

Verdict	Status	Checks	Winning source	Conflicts
`openai_connectors`	Client-compatible	initialize, tools_list, transport_compliance_probe, step_up_auth_probe, connector_replay_probe, request_association_probe	live_validation	none
`claude_desktop`	Client-compatible	initialize, tools_list, transport_compliance_probe	live_validation	none
`unsafe_for_write_actions`	Publishing blocked	action_safety_probe	live_validation	none
`snapshot_churn_risk`	Low	tool_snapshot_probe, connector_replay_probe	history	none

Publishability policy profiles

ChatGPT custom connector compatibility

Connector-compatible

Transport compliance should be in good shape. Compatibility is not a production approval; company knowledge and Messages API gates remain separate.

Search Fetch Only: No
Write Actions Present: Yes
Oauth Configured: Yes
Admin Refresh Required: No
Safe For Company Knowledge: No
Safe For Messages Api Remote Mcp: No

Claude remote MCP compatibility

Connector-compatible

Transport behavior should match Claude-compatible HTTP expectations. Compatibility is not a production approval; company knowledge and Messages API gates remain separate.

Search Fetch Only: No
Write Actions Present: Yes
Oauth Configured: Yes
Admin Refresh Required: No
Safe For Company Knowledge: No
Safe For Messages Api Remote Mcp: No

Compatibility fixtures

ChatGPT custom connector fixture

Passes

Transport compliance should be in good shape.

remote_http_endpoint: Passes
oauth_discovery: Passes
frozen_tool_snapshot_refresh: Passes
request_association: Passes

Anthropic remote MCP fixture

Degraded

Transport behavior should match Claude-compatible HTTP expectations.

remote_transport: Passes
tool_discovery: Passes
auth_connect: Passes
safe_write_review: Degraded

Authenticated validation sessions

Public validation is free. Authenticated validation is paid and proves scoped behavior, write-action safeguards, and authenticated tool execution.

Latest profile

remote_mcp

Authenticated session used

Public score isolation

✓

Preview endpoint

/v1/verify

CI preview endpoint

/v1/ci/preview

Public server reputation

Validation success 7d

1.0

Validation success 30d

1.0

Mean time to recover

n/a

Breaking diffs 30d

Registry drift frequency 30d

Snapshot changes 30d

Incident & change feed

Timestamp	Event	Details
Jul 31, 2026 06:46:27 AM UTC	Latest validation: healthy	Score 71.2 with status healthy.

Capabilities

OAuth: ✓
DCR/CIMD: ✓
Prompts: ✕
Homepage: none
Docs: none
Support: none
Icon: none
Remote endpoint: https://api.mcpanalytics.ai/mcp/api-key
Server card: none

Use-case taxonomy

development database search communication

Security posture

Tools analyzed

High-risk tools

Destructive tools

Exec tools

Egress tools

Secret tools

Bulk-access tools

Risk distribution

low:2, medium:8, high:4, critical:1

Agent Commerce & Payment Readiness - Beta

Beta assessment. Verify separates commerce-adjacent context from observed payment execution. Usage, billing, pricing, card, wallet, or meter terms alone do not make a server payment-capable. This is not a certification of safety, compliance, or fraud prevention.

Overall

Auth posture

Payment readiness

Delegation safety

Tool risk

Commerce signal: moderate Payment capable: inferred Payment execution: no Billing/usage context: yes Quote/pricing context: no Numeric price context: yes Commercial quote context: no Checkout/charge signal: no Checkout term observed: no Human confirmation: unknown Spending policy: yes Receipt support: unknown Auth required: yes Operator identity: declared Tool risk: administrative Delegation level: usage metering context

Detected payment rails

none detected

Purchase stages

usage_metering

Evidence level

inferred

Confidence

medium

Warnings

Verify observed commerce-adjacent billing, usage, or pricing context, but did not observe a tool that can execute payment.

Evidence

Field	Value	Source	Matched terms	Confidence
commerce_signal	moderate	tool_schema	billing, limit, usage, rate	medium

Recommended operator fixes

Clarify whether observed billing, usage, or pricing context can execute payment or is informational only.

Tool capability & risk inventory

Tool	Capabilities	Risk	Findings	Notes
`account_link`	write network filesystem admin	Medium	filesystem mutation admin mutation	No explicit safeguard hints detected.
`about`	other	Low	none	No explicit safeguard hints detected.
`agent_advisor`	network	Medium	none	No explicit safeguard hints detected.
`datasets_upload`	read write filesystem admin secrets	High	secret material access filesystem mutation admin mutation	No explicit safeguard hints detected.
`datasets_list`	read write exec filesystem export	High	command execution bulk data access filesystem mutation	No explicit safeguard hints detected.
`discover_tools`	read write exec	High	command execution freeform input surface	No explicit safeguard hints detected.
`tools_schema`	read exec	Medium	command execution	No explicit safeguard hints detected.
`run_analysis`	read write exec network	Medium	command execution	No explicit safeguard hints detected.
`create_analysis`	write exec network filesystem admin export	Critical	command execution bulk data access filesystem mutation admin mutation	No explicit safeguard hints detected.
`modify_analysis`	write	Medium	none	No explicit safeguard hints detected.
`build_status`	write network secrets	Medium	secret material access	No explicit safeguard hints detected.
`ask_library`	other	Low	none	No explicit safeguard hints detected.
`reports_list`	read exec export	High	command execution bulk data access freeform input surface	No explicit safeguard hints detected.
`reports_view`	read exec network	Medium	command execution	No explicit safeguard hints detected.
`report_cards`	exec	Medium	command execution	No explicit safeguard hints detected.

Write-action governance

Governance status

Error

Safe to publish

Auth boundary

oauth_or_auth_required

Blast radius

High

High-risk tools

Confirmation signals

none

Safeguard count

Status detail: 5 high-risk tool(s), 8 exec-capable tool(s) are exposed behind auth, but still risky; no safeguards or confirmation signals detected.

Tool	Risk	Flags	Safeguards
`datasets_upload`	High	secret material access filesystem mutation admin mutation	no
`datasets_list`	High	command execution bulk data access filesystem mutation	no
`discover_tools`	High	command execution freeform input surface	no
`create_analysis`	Critical	command execution bulk data access filesystem mutation admin mutation	no
`reports_list`	High	command execution bulk data access freeform input surface	no

Action-controls diff

Snapshot changed

Disabled-by-default candidates

none

Manual review candidates

none

New actions

Action	Risk	Flags
No newly added actions.

Changed actions

Action	Change types	Risk
No materially changed actions.

Why this score?

Access & Protocol

35/44

Connectivity, auth, and transport expectations for common clients.

Interface Quality

35.75/56

How well the tool/resource interface communicates and behaves under automation.

Security Posture

23.75/36

How safely the exposed tool surface handles destructive actions, egress, execution, secrets, and risky inputs.

Reliability & Trust

18.75/24

Operational stability, consistency, and trustworthiness over time.

Discovery & Governance

21.35/28

How well the server is documented, listed, and governed in public registries.

Adoption & Market

5/8

Adoption clues and public evidence that the server is intended for external use.

Algorithmic score breakdown

Auth Operability

4/4

Measures whether auth discovery and protected access behave predictably for clients.

Error Contract Quality

1.5/4

Grades machine-readable error structure, status alignment, and remediation hints.

Rate-Limit Semantics

2/4

Checks whether quota/throttle responses are deterministic and automation-friendly.

Schema Completeness

3/4

Completeness of tool descriptions, parameter docs, examples, and schema shape.

Backward Compatibility

2/4

Stability score across tool schema/name drift relative to prior validations.

SLO Health

4/4

Availability, latency, and burst-failure profile across recent validation history.

Security Hygiene

3/4

HTTPS posture, endpoint hygiene, and response-surface hardening checks.

Task Success

4/4

Can an agent reliably initialize, enumerate tools, and execute core MCP flows?

Trust Confidence

1.8/4

Confidence-adjusted reliability score that penalizes low evidence volume.

Abuse/Noise Resilience

4/4

How well the server preserves core behavior in the presence of noisy traffic patterns.

Prompt Contract

2/4

Quality of prompt metadata, argument shape, and prompt discoverability for clients.

Resource Contract

2/4

How completely resources and resource templates describe URIs, types, and usage shape.

Discovery Metadata

4/4

Homepage, docs, icon, repository, support, and license coverage for directory consumers.

Registry Consistency

2.4/4

Agreement between stored registry metadata, live server-card data, and current validation output.

Installability

4/4

How cleanly a real client can connect, initialize, enumerate tools, and proceed through auth.

Session Semantics

4/4

Determinism and state behavior across repeated MCP calls, including sticky-session surprises.

Tool Surface Design

3/4

Naming clarity, schema ergonomics, and parameter complexity across the tool surface.

Result Shape Stability

2/4

Stability of declared output schemas across validations, with penalties for drift or missing shapes.

OAuth Interop

4/4

Depth and client compatibility of OAuth/OIDC metadata beyond the minimal protected-resource check.

Recovery Semantics

1.2/4

Whether failures include actionable machine-readable next steps such as retry or upgrade guidance.

Maintenance Signal

3/4

Versioning, update recency, and historical validation cadence that indicate active stewardship.

Adoption Signal

2/4

Directory presence and distribution clues that suggest the server is intended for external use.

Freshness Confidence

3/4

Confidence that recent validations are current enough and dense enough to trust operationally.

Transport Fidelity

4/4

Whether declared transport metadata matches the observed endpoint behavior and response formats.

Spec Recency

4/4

How close the server’s claimed MCP protocol version is to the latest known public revision.

Session Resume

3/4

Whether Streamable HTTP session identifiers and resumed requests behave cleanly for real clients.

Step-Up Auth

3/4

Whether OAuth metadata and WWW-Authenticate challenges support granular, incremental consent instead of broad upfront scopes.

Transport Compliance

0/4

Checks session headers, protocol-version enforcement, session teardown, and expired-session behavior.

Utility Coverage

2/4

Signals support for completions, pagination, and task-oriented utility surfaces that larger clients increasingly expect.

Advanced Capability Coverage

3/4

Coverage of newer MCP surfaces like roots, sampling, elicitation, structured output, and related metadata.

Connector Publishability

3/4

How ready the server looks for client catalogs and managed connector programs.

Tool Snapshot Churn

3/4

Stability of the tool surface across recent validations, including add/remove and output-shape drift.

Connector Replay

3/4

Whether a previously published frozen connector snapshot would remain backward compatible after the latest tool refresh.

Request Association

3/4

Whether roots, sampling, and elicitation appear tied to active client requests instead of arriving unsolicited on idle sessions.

Interactive Flow Safety

4/4

Whether prompts and docs steer users toward safe auth flows instead of pasting secrets directly.

Action Safety

2/4

Risk-weighted view of destructive, exec, egress, and confirmation semantics across the tool surface.

Official Registry Presence

4/4

Whether the server appears directly or indirectly in the official MCP registry.

Provenance Divergence

4/4

How closely official registry metadata, the live server card, and public repo/package signals agree with each other.

Safety Transparency

2/4

Clarity of docs, auth disclosure, support links, and other trust signals visible to integrators.

Tool Capability Clarity

4/4

How clearly the tool surface communicates whether each action reads, writes, deletes, executes, or exports data.

Destructive Operation Safety

3/4

Penalizes delete/revoke/destroy style tools unless auth and safeguards reduce blast radius.

Egress / SSRF Resilience

3/4

Assesses arbitrary URL fetch, crawl, webhook, and remote-request exposure on the tool surface.

Execution / Sandbox Safety

0/4

Evaluates shell, code, script, and command-execution exposure and whether that surface appears contained.

Data Exfiltration Resilience

3.8/4

Assesses export, dump, backup, and bulk-read behavior against the surrounding auth and safeguard signals.

Least Privilege Scope

2/4

Rewards scoped auth metadata and penalizes broad or missing scopes around privileged tools.

Secret Handling Hygiene

2/4

Assesses secret-bearing tools, token leakage risk, and whether the public surface avoids obvious secret exposure.

Supply Chain Signal

2/4

Public metadata signal for repository, changelog, license, versioning, and recency that supports supply-chain trust.

Input Sanitization Safety

3/4

Penalizes risky freeform string inputs when schemas do not constrain URLs, code, paths, queries, or templates.

Tool Namespace Clarity

4/4

Measures naming uniqueness and ambiguity across the tool namespace to reduce collision and confusion risk.

Compatibility profiles

OpenAI Connectors

88.9

compatible

Transport compliance should be in good shape.

Connector URL: https://api.mcpanalytics.ai/mcp/api-key
# Complete OAuth in the client when prompted.
# Server: ai.mcpanalytics/analytics

Claude Desktop

83.3

compatible

Transport behavior should match Claude-compatible HTTP expectations.

{
  "mcpServers": {
    "analytics": {
      "command": "npx",
      "args": ["mcp-remote", "https://api.mcpanalytics.ai/mcp/api-key"]
    }
  }
}

Smithery

80.0

compatible

Machine-readable failure semantics should be present.

smithery mcp add "https://api.mcpanalytics.ai/mcp/api-key"

Generic Streamable HTTP

100.0

compatible

No major blockers detected.

curl -sS https://api.mcpanalytics.ai/mcp/api-key -H 'content-type: application/json' -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"mcp-verify","version":"0.1.0"}}}'

Actionable remediation

Severity	Remediation	Why it matters	Recommended action
High	Add confirmation and dry-run semantics for risky actions	High-risk write, delete, exec, or egress tools should communicate safeguards clearly.	Inspect the latest validation evidence and resolve the client-visible regression. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.
High	Align session and protocol behavior with Streamable HTTP expectations	Clients increasingly rely on MCP-Protocol-Version, session teardown, and expired-session semantics.	Align MCP-Protocol-Version, MCP-Session-Id, DELETE teardown, and expired-session handling with the transport spec. Playbook Return `Mcp-Session-Id` and `Mcp-Protocol-Version` headers consistently on streamable HTTP responses. Honor `DELETE` session teardown and return `404` when a deleted session is reused. Reject invalid protocol-version headers with `400 Bad Request`.
High	Associate roots, sampling, and elicitation with active client requests	Modern MCP guidance expects roots, sampling, and elicitation traffic to be tied to an active client request instead of arriving unsolicited on idle sessions.	Inspect the latest validation evidence and resolve the client-visible regression. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.
High	Keep connector refreshes backward compatible	Managed connector clients freeze tool snapshots, so removed tools, new required args, and breaking output changes can break published integrations after refresh.	Inspect the latest validation evidence and resolve the client-visible regression. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.
Medium	Adopt a current MCP protocol revision	Older protocol revisions reduce compatibility with newer clients and registry programs.	Inspect the latest validation evidence and resolve the client-visible regression. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.
Medium	Close connector-publishing gaps	Connector catalogs care about protocol recency, session behavior, auth clarity, and tool-surface stability.	Inspect the latest validation evidence and resolve the client-visible regression. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.
Medium	Document minimal scopes and return cleaner auth challenges	Modern clients expect granular scopes and step-up auth signals such as WWW-Authenticate scope hints.	Return granular scopes and WWW-Authenticate challenge hints instead of forcing overly broad auth upfront. Playbook Advertise the narrowest viable scopes in OAuth metadata. Return `WWW-Authenticate` challenges with scope or insufficient-scope hints when additional consent is needed. Revalidate with both public discovery and auth-required flows.
Medium	Reduce tool-surface churn	Frequent add/remove or output-shape drift makes published connectors and cached tool snapshots brittle.	Inspect the latest validation evidence and resolve the client-visible regression. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.
Medium	Repair prompts/list or stop advertising prompts	Prompt metadata should either work live or be removed from the advertised capability set.	Only advertise prompts if prompts/list works and prompt arguments are documented. Playbook Only advertise prompts that are actually accessible. Add prompt descriptions and argument docs. Run a live `prompts/list` check after any prompt changes.
Medium	Repair resources/list or stop advertising resources	Resource metadata should either work live or be removed from the advertised capability set.	Only advertise resources if resources/list works and resources expose stable URIs/types. Playbook Only advertise resources with stable URIs and read semantics. Add MIME/type hints where possible. Run a live `resources/list` and `resources/read` check after updates.
Medium	Respond to validation evidence is outside trustops sla	Latest validation is 30.8 hours old, beyond the configured 24h TrustOps alert threshold.	Trigger a fresh validation run or raise scheduler priority when this server must meet the TrustOps alert threshold. Playbook Queue a new validation run now. Inspect whether the scheduler priority should be raised for this server. Do not treat evidence outside the TrustOps alert threshold as a fresh production decision without review.
Medium	Support resumable HTTP sessions cleanly	Modern MCP clients increasingly expect resumable session behavior on streamable HTTP transports.	Inspect the latest validation evidence and resolve the client-visible regression. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.
Low	Publish newer MCP capability signals	Roots, sampling, elicitation, structured outputs, and related metadata improve client understanding and ranking.	Inspect the latest validation evidence and resolve the client-visible regression. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.

Point loss breakdown

Component	Current	Points missing
Transport Compliance	0/4	-4.0
Execution Sandbox Safety	0/4	-4.0
Recovery Semantics	1.2/4	-2.8
Error Contract	1.5/4	-2.5
Trust Confidence	1.8/4	-2.2
Utility Coverage	2/4	-2.0
Secret Handling Hygiene	2/4	-2.0
Safety Transparency	2/4	-2.0
Result Shape Stability	2/4	-2.0
Resource Contract	2/4	-2.0
Rate Limit Semantics	2/4	-2.0
Prompt Contract	2/4	-2.0

Validation diff

Need at least two validation runs before diffing changes.

Tool snapshot diff & changelog

Need at least two validation runs before building a tool changelog.

Connector replay

Status

Missing

Backward compatible

Would break after refresh

Added tools

none

Removed tools

none

Additive output changes

none

Required-argument replay breaks

Tool	Added required args	Removed required args
No required-argument replay breaks detected.

Output-schema replay breaks

Tool	Removed properties	Added properties
No output-schema replay breaks detected.

Transport compliance drilldown

Probe status

Error

Transport

streamable-http

Session header

Protocol header

Bad protocol response

200

DELETE teardown

n/a

Expired session retry

n/a

Last-Event-ID visible

Issues: missing_session_id, missing_protocol_header, bad_protocol_not_rejected

Request association

Status

Missing

Advertised capabilities

none

Observed idle methods

none

Violating methods

none

Probe HTTP status

n/a

Issues

none

Utility coverage

Probe status

Completions

not detected

Completion probe target: none

Pagination

not detected

No nextCursor evidence.

Tasks

Auth Required

Advertised: no

Benchmark tasks

Benchmark task	Status	Evidence
Discover tools	Passes	`initialize` • OK `tools_list` • OK
Read-only fetch flow	Likely to fail	`resource_read` • Missing `read_only_tool_surface` • Missing
OAuth-required connect	Passes	`oauth_protected_resource` • OK `step_up_auth_probe` • Warning
Safe write flow with confirmation	Likely to fail	`action_safety_probe` • Error

Registry & provenance divergence

Probe status

Direct official match

yes

Drift fields

none

Field	Registry	Live server card
Title	n/a	MCP Analytics
Version	n/a	1.0.5
Homepage	n/a	https://mcpanalytics.ai

Active alerts

Validation evidence is outside TrustOps SLA (medium)
Latest validation is 30.8 hours old, beyond the configured 24h TrustOps alert threshold.

Aliases & registry graph

Identifier	Source	Canonical	Score
`ai.mcpanalytics/analytics`	official_registry	yes	71.22

Alias consolidation

Canonical identifier

ai.mcpanalytics/analytics

Duplicate aliases

Registry sources

official_registry

Remote URLs

https://api.mcpanalytics.ai/mcp/api-key

Homepages

none

Source disagreements

Field	What differs	Observed values
No source disagreements detected.

Install snippets

Openai Connectors

Connector URL: https://api.mcpanalytics.ai/mcp/api-key
# Complete OAuth in the client when prompted.
# Server: ai.mcpanalytics/analytics

Claude Desktop

{
  "mcpServers": {
    "analytics": {
      "command": "npx",
      "args": ["mcp-remote", "https://api.mcpanalytics.ai/mcp/api-key"]
    }
  }
}

Smithery

smithery mcp add "https://api.mcpanalytics.ai/mcp/api-key"

Generic Http

curl -sS https://api.mcpanalytics.ai/mcp/api-key -H 'content-type: application/json' -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"mcp-verify","version":"0.1.0"}}}'

Agent access & tool surface

Live server tools

account_link about agent_advisor datasets_upload datasets_list discover_tools tools_schema run_analysis

Observed from the latest live validation against https://api.mcpanalytics.ai/mcp/api-key. This is the target server surface, not Verify's own inspection tools.

Live capability counts

15 tools • 0 prompts • 0 resources

Counts come from the latest tools/list, prompts/list, and resources/list checks.

Inspect with Verify

search fetch search_servers recommend_servers get_server_report compare_servers

Use Verify itself to search, recommend, compare, and fetch the full report for ai.mcpanalytics/analytics.

Direct machine links

JSON report • Compare this server • Verify MCP API

Claims & monitoring

Server ownership

No verified maintainer claim recorded.

Watch subscriptions

Teams: none

Alert routing

Active watches

Generic webhooks

Slack routes

Teams routes

Email routes

Watch	Team	Channels	Minimum severity
No active watch destinations.

Maintainer analytics

Validation Run Count

Average Latency Ms

2191.73

Healthy Run Ratio Recent

1.0

Registry Presence Count

Active Alert Count

Watcher Count

Verified Claim

False

Taxonomy Tags

development, database, search, communication

Score Trend

71.22

Remediation Count

High Risk Tool Count

Destructive Tool Count

Exec Tool Count

Maintainer response quality

Score

16.67

Verified claim

Support contact

Changelog present

Incident notes present

Tool changes documented

✓

Annotation history

Annotation count

Maintainer annotations

No maintainer annotations have been recorded yet.

Maintainer rebuttals & expected behavior

No maintainer rebuttals or expected-behavior overrides are recorded yet.

Latest validation evidence

Latest summary

Healthy

Validation profile

remote_mcp

Started

Jul 31, 2026 06:46:24 AM UTC

Latency

2191.7 ms

Failures

transport_compliance_probe Issues: missing session id, missing protocol header, bad protocol not rejected (bad protocol=200).

Checks

Check	Status	Latency	Evidence
`action_safety_probe`	Error	n/a	5 high-risk, 8 exec-capable tool(s); auth present; safeguards=0; confirmation=none.
`advanced_capabilities_probe`	Warning	n/a	Only 2 capability signal(s): prompts, resources.
`connector_publishability_probe`	Warning	n/a	Publishability blockers: transport compliance, action safety.
`connector_replay_probe`	Missing	n/a	No connector replay evidence recorded.
`determinism_probe`	OK	194.2 ms	Check completed
`initialize`	OK	84.5 ms	Protocol 2024-11-05
`interactive_flow_probe`	OK	n/a	Check completed
`oauth_authorization_server`	OK	311.1 ms	authorization_endpoint, authorization_grant_profiles_supported, backchannel_authentication_endpoint, backchannel_token_delivery_modes_supported
`oauth_protected_resource`	OK	214.4 ms	1 authorization server(s)
`official_registry_probe`	OK	n/a	Check completed
`openid_configuration`	OK	60.0 ms	authorization_endpoint, authorization_grant_profiles_supported, backchannel_authentication_endpoint, backchannel_token_delivery_modes_supported
`probe_noise_resilience`	OK	237.5 ms	Fetched https://api.mcpanalytics.ai/robots.txt
`prompt_get`	Missing	n/a	not advertised
`prompts_list`	Auth Required	81.1 ms	Client error '401 Unauthorized' for url 'https://api.mcpanalytics.ai/mcp/api-key' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/401
`protocol_version_probe`	Warning	n/a	Claims 2024-11-05; 3 release(s) behind 2025-11-25.
`provenance_divergence_probe`	OK	n/a	Check completed
`request_association_probe`	Missing	n/a	No request-association capabilities were advertised.
`resource_read`	Missing	n/a	not advertised
`resources_list`	Auth Required	243.0 ms	Client error '401 Unauthorized' for url 'https://api.mcpanalytics.ai/mcp/api-key' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/401
`server_card`	OK	285.8 ms	description, homepage, name, repository
`session_resume_probe`	Warning	n/a	no session id
`step_up_auth_probe`	Warning	n/a	Scopes=address, created at, email, email verified, +10 more; no step-up challenge hints.
`tool_snapshot_probe`	Missing	n/a	no historical snapshot
`tools_list`	OK	83.0 ms	15 tool(s) exposed
`transport_compliance_probe`	Error	89.0 ms	Issues: missing session id, missing protocol header, bad protocol not rejected (bad protocol=200).
`utility_coverage_probe`	OK	103.8 ms	No completions evidence; no pagination evidence; tasks auth required.

Raw evidence view

Show raw JSON evidence

{
  "checks": {
    "action_safety_probe": {
      "details": {
        "auth_present": true,
        "confirmation_signals": [],
        "safeguard_count": 0,
        "summary": {
          "bulk_access_tools": 3,
          "capability_distribution": {
            "admin": 3,
            "exec": 8,
            "export": 3,
            "filesystem": 4,
            "network": 6,
            "other": 2,
            "read": 7,
            "secrets": 2,
            "write": 8
          },
          "destructive_tools": 0,
          "egress_tools": 0,
          "exec_tools": 8,
          "high_risk_tools": 5,
          "risk_distribution": {
            "critical": 1,
            "high": 4,
            "low": 2,
            "medium": 8
          },
          "secret_tools": 2,
          "tool_count": 15
        }
      },
      "latency_ms": null,
      "status": "error"
    },
    "advanced_capabilities_probe": {
      "details": {
        "capabilities": {
          "completions": false,
          "elicitation": false,
          "prompts": true,
          "resource_links": false,
          "resources": true,
          "roots": false,
          "sampling": false,
          "structured_outputs": false
        },
        "enabled": [
          "prompts",
          "resources"
        ],
        "enabled_count": 2,
        "initialize_capability_keys": [
          "prompts",
          "resources",
          "tools"
        ]
      },
      "latency_ms": null,
      "status": "warning"
    },
    "connector_publishability_probe": {
      "details": {
        "blockers": [
          "transport_compliance",
          "action_safety"
        ],
        "criteria": {
          "action_safety": false,
          "auth_flow": true,
          "connector_replay": true,
          "initialize": true,
          "protocol_version": true,
          "remote_transport": true,
          "request_association": true,
          "server_card": true,
          "session_resume": true,
          "step_up_auth": true,
          "tool_surface": true,
          "tools_list": true,
          "transport_compliance": false
        },
        "high_risk_tools": 5,
        "tool_count": 15,
        "transport": "streamable-http"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "connector_replay_probe": {
      "details": {
        "reason": "no_historical_snapshot"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "determinism_probe": {
      "details": {
        "attempts": 2,
        "baseline_signature": "991b9e67ca29815d455a5202eb4f2bac1cd01d51ead5d1ae82ee0cdf4853ea84",
        "errors": [],
        "matches": 2,
        "stable_ratio": 1.0,
        "successful": 2
      },
      "latency_ms": 194.25,
      "status": "ok"
    },
    "initialize": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "id": 1,
          "jsonrpc": "2.0",
          "result": {
            "capabilities": {
              "prompts": {},
              "resources": {},
              "tools": {
                "listChanged": false
              }
            },
            "instructions": "DISCOVERY MODE \u2014 no API key detected, so this connection can BROWSE but not RUN.\n\nYou can call: tools/list (see what is available), ping.\nEvery analysis tool will return 401 until a key is present.\n\nTo actually run anything, the user needs a free API key: sign up at https://account.mcpanalytics.ai \u2014 it takes a minute and includes 500 free credits \u2014 then set it as the X-API-Key header (or MCP_API_KEY in the client config).\n\nTell the user this up front rather than attempting a call and reporting an auth failure.",
            "protocolVersion": "2024-11-05",
            "serverInfo": {
              "name": "MCP Analytics",
              "version": "1.0.5"
            }
          }
        },
        "url": "https://api.mcpanalytics.ai/mcp/api-key"
      },
      "latency_ms": 84.49,
      "status": "ok"
    },
    "interactive_flow_probe": {
      "details": {
        "oauth_supported": true,
        "prompt_available": false,
        "risk_hits": [],
        "safe_hits": [
          "browser"
        ]
      },
      "latency_ms": null,
      "status": "ok"
    },
    "oauth_authorization_server": {
      "details": {
        "headers": {
          "content-type": "application/json; charset=utf-8",
          "strict-transport-security": "max-age=31536000; includeSubDomains",
          "x-ratelimit-limit": "300",
          "x-ratelimit-remaining": "299",
          "x-ratelimit-reset": "1785480446"
        },
        "http_status": 200,
        "payload": {
          "authorization_endpoint": "https://auth0.mcpanalytics.ai/authorize",
          "authorization_grant_profiles_supported": [
            "urn:ietf:params:oauth:grant-profile:id-jag"
          ],
          "backchannel_authentication_endpoint": "https://auth0.mcpanalytics.ai/bc-authorize",
          "backchannel_token_delivery_modes_supported": [
            "poll"
          ],
          "claims_supported": [
            "aud",
            "auth_time",
            "created_at",
            "email",
            "email_verified",
            "exp",
            "family_name",
            "given_name",
            "iat",
            "identities",
            "iss",
            "name",
            "nickname",
            "phone_number",
            "picture",
            "sub"
          ],
          "code_challenge_methods_supported": [
            "S256",
            "plain"
          ],
          "device_authorization_endpoint": "https://auth0.mcpanalytics.ai/oauth/device/code",
          "dpop_signing_alg_values_supported": [
            "ES256"
          ],
          "end_session_endpoint": "https://auth0.mcpanalytics.ai/oidc/logout",
          "global_token_revocation_endpoint": "https://auth0.mcpanalytics.ai/oauth/global-token-revocation/connection/{connectionName}",
          "global_token_revocation_endpoint_auth_methods_supported": [
            "global-token-revocation+jwt"
          ],
          "grant_types_supported": [
            "client_credentials",
            "authorization_code",
            "refresh_token",
            "password",
            "implicit",
            "urn:ietf:params:oauth:grant-type:device_code",
            "urn:ietf:params:oauth:grant-type:token-exchange",
            "http://auth0.com/oauth/grant-type/password-realm",
            "http://auth0.com/oauth/grant-type/passwordless/otp",
            "http://auth0.com/oauth/grant-type/mfa-oob",
            "http://auth0.com/oauth/grant-type/mfa-otp",
            "http://auth0.com/oauth/grant-type/mfa-recovery-code",
            "urn:ietf:params:oauth:grant-type:jwt-bearer"
          ],
          "id_token_signing_alg_values_supported": [
            "HS256",
            "RS256",
            "PS256"
          ],
          "issuer": "https://auth0.mcpanalytics.ai/",
          "jwks_uri": "https://auth0.mcpanalytics.ai/.well-known/jwks.json",
          "mfa_challenge_endpoint": "https://auth0.mcpanalytics.ai/mfa/challenge",
          "registration_endpoint": "https://auth0.mcpanalytics.ai/oidc/register",
          "request_parameter_supported": false,
          "request_uri_parameter_supported": false,
          "response_modes_supported": [
            "query",
            "fragment",
            "form_post"
          ],
          "response_types_supported": [
            "code",
            "token",
            "id_token",
            "code token",
            "code id_token",
            "token id_token",
            "code token id_token"
          ],
          "revocation_endpoint": "https://auth0.mcpanalytics.ai/oauth/revoke",
          "scopes_supported": [
            "openid",
            "profile",
            "offline_access",
            "name",
            "given_name",
            "family_name",
            "nickname",
            "email",
            "email_verified",
            "picture",
            "created_at",
            "identities",
            "phone",
            "address"
          ],
          "subject_types_supported": [
            "public"
          ],
          "token_endpoint": "https://auth0.mcpanalytics.ai/oauth/token",
          "token_endpoint_auth_methods_supported": [
            "client_secret_basic",
            "client_secret_post",
            "private_key_jwt",
            "none"
          ],
          "token_endpoint_auth_signing_alg_values_supported": [
            "RS256",
            "RS384",
            "PS256"
          ],
          "userinfo_endpoint": "https://auth0.mcpanalytics.ai/userinfo"
        },
        "url": "https://auth0.mcpanalytics.ai/.well-known/oauth-authorization-server"
      },
      "latency_ms": 311.09,
      "status": "ok"
    },
    "oauth_protected_resource": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "authorization_servers": [
            "https://auth0.mcpanalytics.ai"
          ],
          "bearer_methods_supported": [
            "header"
          ],
          "resource": "https://api.mcpanalytics.ai",
          "resource_documentation": "https://api.mcpanalytics.ai/docs",
          "resource_policy_uri": "https://mcpanalytics.ai/privacy"
        },
        "url": "https://api.mcpanalytics.ai/.well-known/oauth-protected-resource"
      },
      "latency_ms": 214.38,
      "status": "ok"
    },
    "official_registry_probe": {
      "details": {
        "direct_match": true,
        "official_peer_count": 1,
        "registry_identifier": "ai.mcpanalytics/analytics",
        "registry_source": "official_registry"
      },
      "latency_ms": null,
      "status": "ok"
    },
    "openid_configuration": {
      "details": {
        "headers": {
          "content-type": "application/json; charset=utf-8",
          "strict-transport-security": "max-age=31536000; includeSubDomains",
          "x-ratelimit-limit": "300",
          "x-ratelimit-remaining": "298",
          "x-ratelimit-reset": "1785480446"
        },
        "http_status": 200,
        "payload": {
          "authorization_endpoint": "https://auth0.mcpanalytics.ai/authorize",
          "authorization_grant_profiles_supported": [
            "urn:ietf:params:oauth:grant-profile:id-jag"
          ],
          "backchannel_authentication_endpoint": "https://auth0.mcpanalytics.ai/bc-authorize",
          "backchannel_token_delivery_modes_supported": [
            "poll"
          ],
          "claims_supported": [
            "aud",
            "auth_time",
            "created_at",
            "email",
            "email_verified",
            "exp",
            "family_name",
            "given_name",
            "iat",
            "identities",
            "iss",
            "name",
            "nickname",
            "phone_number",
            "picture",
            "sub"
          ],
          "code_challenge_methods_supported": [
            "S256",
            "plain"
          ],
          "device_authorization_endpoint": "https://auth0.mcpanalytics.ai/oauth/device/code",
          "dpop_signing_alg_values_supported": [
            "ES256"
          ],
          "end_session_endpoint": "https://auth0.mcpanalytics.ai/oidc/logout",
          "global_token_revocation_endpoint": "https://auth0.mcpanalytics.ai/oauth/global-token-revocation/connection/{connectionName}",
          "global_token_revocation_endpoint_auth_methods_supported": [
            "global-token-revocation+jwt"
          ],
          "grant_types_supported": [
            "client_credentials",
            "authorization_code",
            "refresh_token",
            "password",
            "implicit",
            "urn:ietf:params:oauth:grant-type:device_code",
            "urn:ietf:params:oauth:grant-type:token-exchange",
            "http://auth0.com/oauth/grant-type/password-realm",
            "http://auth0.com/oauth/grant-type/passwordless/otp",
            "http://auth0.com/oauth/grant-type/mfa-oob",
            "http://auth0.com/oauth/grant-type/mfa-otp",
            "http://auth0.com/oauth/grant-type/mfa-recovery-code",
            "urn:ietf:params:oauth:grant-type:jwt-bearer"
          ],
          "id_token_signing_alg_values_supported": [
            "HS256",
            "RS256",
            "PS256"
          ],
          "issuer": "https://auth0.mcpanalytics.ai/",
          "jwks_uri": "https://auth0.mcpanalytics.ai/.well-known/jwks.json",
          "mfa_challenge_endpoint": "https://auth0.mcpanalytics.ai/mfa/challenge",
          "registration_endpoint": "https://auth0.mcpanalytics.ai/oidc/register",
          "request_parameter_supported": false,
          "request_uri_parameter_supported": false,
          "response_modes_supported": [
            "query",
            "fragment",
            "form_post"
          ],
          "response_types_supported": [
            "code",
            "token",
            "id_token",
            "code token",
            "code id_token",
            "token id_token",
            "code token id_token"
          ],
          "revocation_endpoint": "https://auth0.mcpanalytics.ai/oauth/revoke",
          "scopes_supported": [
            "openid",
            "profile",
            "offline_access",
            "name",
            "given_name",
            "family_name",
            "nickname",
            "email",
            "email_verified",
            "picture",
            "created_at",
            "identities",
            "phone",
            "address"
          ],
          "subject_types_supported": [
            "public"
          ],
          "token_endpoint": "https://auth0.mcpanalytics.ai/oauth/token",
          "token_endpoint_auth_methods_supported": [
            "client_secret_basic",
            "client_secret_post",
            "private_key_jwt",
            "none"
          ],
          "token_endpoint_auth_signing_alg_values_supported": [
            "RS256",
            "RS384",
            "PS256"
          ],
          "userinfo_endpoint": "https://auth0.mcpanalytics.ai/userinfo"
        },
        "url": "https://auth0.mcpanalytics.ai/.well-known/openid-configuration"
      },
      "latency_ms": 60.04,
      "status": "ok"
    },
    "probe_noise_resilience": {
      "details": {
        "headers": {
          "content-type": "text/plain; charset=utf-8"
        },
        "http_status": 200,
        "url": "https://api.mcpanalytics.ai/robots.txt"
      },
      "latency_ms": 237.46,
      "status": "ok"
    },
    "prompt_get": {
      "details": {
        "reason": "not_advertised"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "prompts_list": {
      "details": {
        "error": "Client error '401 Unauthorized' for url 'https://api.mcpanalytics.ai/mcp/api-key'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/401",
        "headers": {
          "content-type": "application/json",
          "www-authenticate": "API-Key realm=\"https://api.mcpanalytics.ai\""
        },
        "http_status": 401,
        "payload": {},
        "reason": "auth_required",
        "url": "https://api.mcpanalytics.ai/mcp/api-key"
      },
      "latency_ms": 81.1,
      "status": "auth_required"
    },
    "protocol_version_probe": {
      "details": {
        "claimed_version": "2024-11-05",
        "lag_days": 385,
        "latest_known_version": "2025-11-25",
        "releases_behind": 3,
        "validator_protocol_version": "2025-03-26"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "provenance_divergence_probe": {
      "details": {
        "direct_official_match": true,
        "drift_fields": [],
        "metadata_document_count": 2,
        "registry_homepage": null,
        "registry_repository": null,
        "registry_title": null,
        "registry_version": null,
        "server_card_homepage": "https://mcpanalytics.ai",
        "server_card_repository": "https://github.com/embeddedlayers/mcp-analytics",
        "server_card_title": "MCP Analytics",
        "server_card_version": "1.0.5"
      },
      "latency_ms": null,
      "status": "ok"
    },
    "request_association_probe": {
      "details": {
        "reason": "no_request_association_capabilities_advertised"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "resource_read": {
      "details": {
        "reason": "not_advertised"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "resources_list": {
      "details": {
        "error": "Client error '401 Unauthorized' for url 'https://api.mcpanalytics.ai/mcp/api-key'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/401",
        "headers": {
          "content-type": "application/json",
          "www-authenticate": "API-Key realm=\"https://api.mcpanalytics.ai\""
        },
        "http_status": 401,
        "payload": {},
        "reason": "auth_required",
        "url": "https://api.mcpanalytics.ai/mcp/api-key"
      },
      "latency_ms": 242.99,
      "status": "auth_required"
    },
    "server_card": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "description": "Statistical analysis platform \u2014 upload CSV or connect GA4/GSC, run 77+ validated R-based analysis modules (regression, ML, time series, marketing attribution, churn prediction, RFM segmentation), get interactive HTML reports with AI insights and PDF export. Pay per report, no subscription.",
          "homepage": "https://mcpanalytics.ai",
          "name": "MCP Analytics",
          "repository": "https://github.com/embeddedlayers/mcp-analytics",
          "tools": [
            {
              "description": "Direct link to the right account page for anything not doable in chat \u2014 billing, browser upload, report management. Hand the user the link and guide them.",
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                        "brief",
                        "deck"
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                      "type": "string"
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                  },
                  "required": [],
                  "type": "object"
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                "name": "create_analysis"
              },
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                "annotations": {
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                  "idempotentHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
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                    "dataset_ref": {
                      "description": "Optional \u2014 rebuild against a different dataset ('uuid://UUID:KEY')",
                      "type": "string"
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                    "tier": {
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                      "enum": [
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                        "deck"
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                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Check a commissioned build in-chat: stage progress, queue position, rejection reason if the data didn't match the objective, honest ETA, report link when delivered.",
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                  "properties": {
                    "pipeline_id": {
                      "description": "pipeline_id from create_analysis",
                      "type": "integer"
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                    "track_token": {
                      "description": "Token from the tracking URL",
                      "type": "string"
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                  "required": [],
                  "type": "object"
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                "name": "build_status"
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              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
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                "description": "Ask a question across all your delivered analyses \u2014 synthesized answer with citations back to specific reports.",
                "inputSchema": {
                  "properties": {
                    "question": {
                      "description": "Plain-language question to answer from your report library",
                      "type": "string"
                    }
                  },
                  "required": [
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                  "type": "object"
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                "name": "ask_library"
              },
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                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
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                  "properties": {
                    "limit": {
                      "default": 10,
                      "description": "Max results",
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                      "description": "Natural-language search over your reports' content",
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                "name": "reports_list"
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              {
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                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
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                },
                "description": "Get a shareable browser link for a report \u2014 viewable without authentication.",
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                  "properties": {
                    "processing_id": {
                      "description": "Processing ID from run_analysis / reports_list",
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              "annotations": {
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              "description": "Direct link to the right account page for anything not doable in chat \u2014 billing, browser upload, report management. Hand the user the link and guide them.",
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              "annotations": {
                "destructiveHint": false,
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              "description": "Get your data in. Pass `data` as an array of row objects to create the dataset immediately and get a dataset_ref ready for create_analysis; omit it to get an upload link for a file only the user can reach.",
              "inputSchema": {
                "properties": {
                  "data": {
                    "description": "Rows as an array of flat objects \u2014 creates the dataset in one call",
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                "idempotentHint": true,
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              "description": "List and search your uploaded datasets \u2014 fuzzy matching on name, description, and tags. Returns each dataset's uuid:// reference for use in create_analysis and run_analysis.",
              "inputSchema": {
                "properties": {
                  "limit": {
                    "default": 20,
                    "description": "Max results",
                    "type": "integer"
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            {
              "annotations": {
                "destructiveHint": false,
                "idempotentHint": true,
                "openWorldHint": false,
                "readOnlyHint": true
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              "description": "Browse the analyses you can run \u2014 the ones you commissioned plus the platform Standard Library (prebuilt tools; each result tagged source:'own' or 'standard_library'). Plain-language match; no query lists everything, your own first. Nothing fits? Commission it with create_analysis.",
              "inputSchema": {
                "properties": {
                  "query": {
                    "description": "Plain-language search over your library + the Standard Library; omit to list everything",
                    "type": "string"
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                },
                "type": "object"
              },
              "name": "discover_tools"
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            {
              "annotations": {
                "destructiveHint": false,
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                "openWorldHint": false,
                "readOnlyHint": true
              },
              "description": "Get an analysis's parameter schema \u2014 ALWAYS call before run_analysis.",
              "inputSchema": {
                "properties": {
                  "tool_name": {
                    "description": "Name of the analysis",
                    "type": "string"
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                "type": "object"
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              "name": "tools_schema"
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              "annotations": {
                "destructiveHint": false,
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                "openWorldHint": false,
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              "description": "Run an analysis on your data. Returns a shareable interactive report URL \u2014 validated statistics you can cite, re-run, and share.",
              "inputSchema": {
                "properties": {
                  "taskList": {
                    "description": "Execution inputs. Call tools_schema first for the analysis-specific fields.",
                    "properties": {
                      "inputs": {
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                          "column_mapping": {
                            "description": "Analysis-specific column mapping \u2014 see tools_schema",
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                          "dataset": {
                            "description": "Dataset reference: uuid://UUID:KEY from datasets_upload/datasets_list",
                            "type": "string"
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                          "module_parameters": {
                            "description": "Analysis-specific parameters \u2014 see tools_schema",
                            "type": "object"
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                          "userContext": {
                            "description": "Business context: objective (what you want to learn, required) and company",
                            "type": "object"
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                        "type": "object"
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                    "type": "object"
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                    "description": "Name of the analysis to run",
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                "type": "object"
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                "destructiveHint": false,
                "idempotentHint": false,
                "openWorldHint": false,
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              "description": "Commission a NEW analysis built for your question. tier is REQUIRED \u2014 the user picks. Easiest: fuzzy_request (plain language) + dataset_ref + tier. Snapshot = instant automated report (~2-10 min). JSON = a fast computed answer, numbers + method, re-runnable tool you own (~5 min). Brief = the computed answer on a one-page report \u2014 chart, numbers, method (~7 min). Deck = commissioned deep analysis, a durable re-runnable module you own (30-45 min). Failed builds are never billed.",
              "inputSchema": {
                "properties": {
                  "column_mapping": {
                    "description": "Optional semantic-to-real column map (hint only)",
                    "type": "object"
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                  "dataset_ref": {
                    "description": "Single-dataset URI: 'uuid://UUID:KEY'",
                    "type": "string"
                  },
                  "datasets_refs": {
                    "description": "Multi-dataset URIs keyed by role",
                    "type": "object"
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                  "fuzzy_request": {
                    "description": "Plain-language description of the analysis you want",
                    "type": "string"
                  },
                  "notes": {
                    "description": "Optional context for the build \u2014 constraints, definitions, or preferences the analyst agents should honor",
                    "type": "string"
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                  "specification": {
                    "description": "Full 11-field spec (legacy path \u2014 prefer fuzzy_request)",
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                "properties": {
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              "inputSchema": {
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            {
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                "openWorldHint": false,
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              "description": "Your report library \u2014 every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.",
              "inputSchema": {
                "properties": {
                  "limit": {
                    "default": 10,
                    "description": "Max results",
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              },
              "description": "Get a shareable browser link for a report \u2014 viewable without authentication.",
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  },
  "remote_url": "https://api.mcpanalytics.ai/mcp/api-key",
  "server_card_payload": {
    "description": "Statistical analysis platform \u2014 upload CSV or connect GA4/GSC, run 77+ validated R-based analysis modules (regression, ML, time series, marketing attribution, churn prediction, RFM segmentation), get interactive HTML reports with AI insights and PDF export. Pay per report, no subscription.",
    "homepage": "https://mcpanalytics.ai",
    "name": "MCP Analytics",
    "repository": "https://github.com/embeddedlayers/mcp-analytics",
    "tools": [
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        "name": "account_link"
      },
      {
        "description": "Platform documentation and info \u2014 how it works, tiers, usage.",
        "name": "about"
      },
      {
        "description": "AI help desk \u2014 which analysis fits your question, interpreting results, fixing errors. Multi-turn.",
        "name": "agent_advisor"
      },
      {
        "description": "Get your data in. Pass `data` as an array of row objects to create the dataset immediately and get a dataset_ref ready for create_analysis; omit it to get an upload link for a file only the user can reach.",
        "name": "datasets_upload"
      },
      {
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        "name": "datasets_list"
      },
      {
        "description": "Browse the analyses you can run \u2014 the ones you commissioned plus the platform Standard Library (prebuilt tools; each result tagged source:'own' or 'standard_library'). Plain-language match; no query lists everything, your own first. Nothing fits? Commission it with create_analysis.",
        "name": "discover_tools"
      },
      {
        "description": "Get an analysis's parameter schema \u2014 ALWAYS call before run_analysis.",
        "name": "tools_schema"
      },
      {
        "description": "Run an analysis on your data. Returns a shareable interactive report URL \u2014 validated statistics you can cite, re-run, and share.",
        "name": "run_analysis"
      },
      {
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        "name": "create_analysis"
      },
      {
        "description": "Modify an EXISTING analysis into a new version \u2014 reword the question, swap the method, or add a variable. Pass tool_name + changes (plain language). Rebuilds on the analysis's own dataset by default; the original stays put. Returns pipeline tracking \u2014 follow with build_status.",
        "name": "modify_analysis"
      },
      {
        "description": "Check a commissioned build in-chat: stage progress, queue position, rejection reason if the data didn't match the objective, honest ETA, report link when delivered.",
        "name": "build_status"
      },
      {
        "description": "Ask a question across all your delivered analyses \u2014 synthesized answer with citations back to specific reports.",
        "name": "ask_library"
      },
      {
        "description": "Your report library \u2014 every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.",
        "name": "reports_list"
      },
      {
        "description": "Get a shareable browser link for a report \u2014 viewable without authentication.",
        "name": "reports_view"
      },
      {
        "description": "Browse a delivered report's individual cards (charts, tables, insights) inline in chat.",
        "name": "report_cards"
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    ],
    "version": "1.0.5"
  },
  "server_identifier": "ai.mcpanalytics/analytics"
}

Known versions

1.0.6

Validation history

7 day score delta

n/a

30 day score delta

n/a

Recent healthy ratio

100%

Freshness

30.8h

Timestamp	Status	Score	Latency	Tools
Jul 31, 2026 06:46:27 AM UTC	Healthy	71.2	2191.7 ms	15

Validation timeline

Validated	Summary	Score	Protocol	Auth mode	Tools	High-risk tools	Changes
Jul 31, 2026 06:46:27 AM UTC	Healthy	71.2	2024-11-05	oauth_supported	15	5	none

Recent validation runs

Started	Status	Summary	Latency	Checks
Jul 31, 2026 06:46:24 AM UTC	Completed	Healthy	2191.7 ms	action_safety_probe, advanced_capabilities_probe, connector_publishability_probe, connector_replay_probe, determinism_probe, initialize, interactive_flow_probe, oauth_authorization_server, oauth_protected_resource, official_registry_probe, openid_configuration, probe_noise_resilience, prompt_get, prompts_list, protocol_version_probe, provenance_divergence_probe, request_association_probe, resource_read, resources_list, server_card, session_resume_probe, step_up_auth_probe, tool_snapshot_probe, tools_list, transport_compliance_probe, utility_coverage_probe