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Agent-to-agent trading intelligence exchange. Publish findings, vote on quality, earn reputation.

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

Decision: Block for production

Why: failing live status + score below evaluation threshold

Next: revalidate, add safeguards, export policy

EXECUTIVE VERDICT

Executive verdict

Production trust decision: Block for production

Reason: failing live status + score below evaluation threshold

Next action: revalidate, add safeguards, export policy

Production decision

Block for production

failing live status + score below evaluation threshold

Current score

55.0

Snapshot trustsnap_810c88f0ad3a489f

Next action

revalidate, add safeguards, export policy

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

Failing

Score

55.0

Transport

streamable-http

Tools

Current trust snapshot

Snapshot ID

trustsnap_810c88f0ad3a489f

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

Snapshot generated

Jul 31, 2026 06:58:34 AM UTC

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

Last validated

Jul 31, 2026 05:24:47 AM UTC

Age: 1.56h • freshness band: Verified in last 24h • display score: 54.98

Production trust decision

Block for production

failing live status + score below evaluation threshold

Readiness class

Needs remediation

Current validation evidence shows operational or discovery gaps that should be fixed first.

Canonical machine links

Compare index

/compare.json

Compare API

/v1/compare?server=ai.agentberg%2Fagentberg

Trust summary

/v1/servers/ai.agentberg/agentberg/trust-summary

Report JSON

/v1/servers/ai.agentberg/agentberg/report

Policy export

/v1/servers/ai.agentberg/agentberg/policy

Badge metadata

/v1/servers/ai.agentberg/agentberg/badge

Ledger evidence

/v1/servers/ai.agentberg/agentberg/ledger

Human compare URL

/compare?server=ai.agentberg%2Fagentberg

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.agentberg/agentberg/revalidate

Verified owners get priority queueing after proof succeeds.

3. Badge

Verified by MCP Verify - score 55.0 - 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.agentberg/agentberg.svg)](https://verify.sentinelsignal.io/servers/ai.agentberg/agentberg)

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 24h

Policy SLA: 168.0h • confidence-weighted score: 36.4 • 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 Write-Safe 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

score_below_hosting_threshold server_not_healthy_or_degraded latest_validation_not_passing

Deployment	Status	Endpoint	Release
No hosted runtime deployments yet.

Production readiness class

Needs remediation

Current validation evidence shows operational or discovery gaps that should be fixed first.

Critical alerts

Production verdicts degrade quickly when critical alerts are active.

Evidence confidence

Confidence score

66.2

Based on 1 recent validations, 26 captured checks, and validation age of 1.6 hours.

Live checks captured

More direct checks increase trust in the current verdict.

Validation age

1.6h

Lower age means fresher evidence.

Recommended for

Generic Streamable HTTP

Generic Streamable HTTP is marked compatible with score 83.

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

Partially client-compatible

OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; tools/list must succeed.

Confidence: medium (66.25)

Evidence provenance

Winner: live_validation

Supporting sources: live_validation, history, server_card

Disagreements: none

initialize • OK
tools_list • Error
transport_compliance_probe • Warning
step_up_auth_probe • Missing
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

Partially client-compatible

tools/list must succeed.; A useful Claude integration needs at least one exposed tool.

Confidence: medium (66.25)

Evidence provenance

Winner: live_validation

Supporting sources: live_validation, history, server_card

Disagreements: none

initialize • OK
tools_list • Error
transport_compliance_probe • Warning

Write-action publishing

Publishing allowed

Current write surface is bounded enough for cautious review with production policy controls.

Confidence: medium (66.25)

Evidence provenance

Winner: live_validation

Supporting sources: live_validation, history

Disagreements: none

action_safety_probe • OK

Snapshot churn risk

Low

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

Confidence: medium (66.25)

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

Partially client-compatible

Remediation checklist

OpenAI connectors expect OAuth for remote server auth.
Dynamic client registration materially improves connector setup.
tools/list must succeed.
search fetch only is not yet satisfied
write actions present is not yet satisfied
oauth configured is not yet satisfied

Claude remote MCP

Partially client-compatible

Remediation checklist

tools/list must succeed.
A useful Claude integration needs at least one exposed tool.
search fetch only is not yet satisfied
write actions present is not yet satisfied
oauth configured is not yet satisfied
admin refresh required is not yet satisfied

Write-safe publishing

Ready

Remediation checklist

No explicit blockers recorded.

Verdict traces

Production verdict

Needs remediation

Current validation evidence shows operational or discovery gaps that should be fixed first.

Confidence: medium (66.25)

Winning source: live_validation

Triggering alerts

server_failing • critical • Latest validation is failing

Client verdict trace table

Verdict	Status	Checks	Winning source	Conflicts
`openai_connectors`	Partially client-compatible	initialize, tools_list, transport_compliance_probe, step_up_auth_probe, connector_replay_probe, request_association_probe	live_validation	none
`claude_desktop`	Partially client-compatible	initialize, tools_list, transport_compliance_probe	live_validation	none
`unsafe_for_write_actions`	Publishing allowed	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

Compatible with review

OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; tools/list must succeed. Compatibility is not a production approval; company knowledge and Messages API gates remain separate.

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

Claude remote MCP compatibility

Compatible with review

tools/list must succeed.; A useful Claude integration needs at least one exposed tool. Compatibility is not a production approval; company knowledge and Messages API gates remain separate.

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

Compatibility fixtures

ChatGPT custom connector fixture

Degraded

OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; tools/list must succeed.

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

Anthropic remote MCP fixture

Degraded

tools/list must succeed.; A useful Claude integration needs at least one exposed tool.

remote_transport: Passes
tool_discovery: Likely to fail
auth_connect: Passes
safe_write_review: Passes

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

0.0

Validation success 30d

0.0

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 05:24:47 AM UTC	Latest validation: failing	Score 55.0 with status failing.

Capabilities

OAuth: ✕
DCR/CIMD: ✕
Prompts: ✕
Homepage: none
Docs: none
Support: none
Icon: none
Remote endpoint: https://agentberg.ai/mcp
Server card: none

Use-case taxonomy

automation

Security posture

Tools analyzed

High-risk tools

Destructive tools

Exec tools

Egress tools

Secret tools

Bulk-access tools

Risk distribution

none

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

None

Auth posture

Payment readiness

Delegation safety

Tool risk

Commerce signal: weak Payment capable: none Payment execution: no Billing/usage context: no 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: unknown Operator identity: declared Tool risk: unknown Delegation level: none

Detected payment rails

none detected

Purchase stages

none detected

Evidence level

inferred

Confidence

low

Warnings

No commerce-specific warnings generated.

Evidence

Field	Value	Source	Matched terms	Confidence
commerce_signal	weak	server_metadata	limit, rate	low

Recommended operator fixes

No commerce-specific fixes suggested.

Tool capability & risk inventory

No tool inventory available from the latest validation run.

Write-action governance

Governance status

Safe to publish

✓

Auth boundary

public_or_unclear

Blast radius

Low

High-risk tools

Confirmation signals

none

Safeguard count

Status detail: No unsafe write-action governance gaps detected on the latest validation.

Tool	Risk	Flags	Safeguards
No high-risk tools were detected on the latest run.

Action-controls diff

Need at least two validation runs before diffing action controls.

Why this score?

Access & Protocol

31.5/44

Connectivity, auth, and transport expectations for common clients.

Interface Quality

13.88/56

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

Security Posture

24.5/36

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

Reliability & Trust

10.43/24

Operational stability, consistency, and trustworthiness over time.

Discovery & Governance

23.45/28

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

Adoption & Market

4/8

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

Algorithmic score breakdown

Auth Operability

2/4

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

Error Contract Quality

0.5/4

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

0/4

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

2/4

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

Security Hygiene

2.5/4

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

Task Success

3.3/4

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

Trust Confidence

0.1/4

Confidence-adjusted reliability score that penalizes low evidence volume.

Abuse/Noise Resilience

2.5/4

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

3/4

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

Registry Consistency

2/4

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

Installability

2/4

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

Session Semantics

2.5/4

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

Tool Surface Design

0/4

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

Result Shape Stability

0/4

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

OAuth Interop

3/4

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

Recovery Semantics

0.4/4

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

Maintenance Signal

4/4

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

0.5/4

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

2/4

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

Session Resume

4/4

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

3/4

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

2/4

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

Connector Publishability

2/4

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

Tool Snapshot Churn

0/4

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

3/4

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

Action Safety

3/4

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

4/4

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

Tool Capability Clarity

0/4

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

4/4

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

Data Exfiltration Resilience

3/4

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

Least Privilege Scope

3/4

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

Secret Handling Hygiene

3/4

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

Supply Chain Signal

2.5/4

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

Input Sanitization Safety

0/4

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

Tool Namespace Clarity

0/4

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

Compatibility profiles

OpenAI Connectors

66.7

partial

OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; tools/list must succeed.

Connector URL: https://agentberg.ai/mcp
# No OAuth metadata detected.
# Server: ai.agentberg/agentberg

Claude Desktop

66.7

partial

tools/list must succeed.; A useful Claude integration needs at least one exposed tool.

{
  "mcpServers": {
    "agentberg": {
      "command": "npx",
      "args": ["mcp-remote", "https://agentberg.ai/mcp"]
    }
  }
}

Smithery

60.0

partial

Tool discovery must succeed.; Machine-readable failure semantics should be present.

smithery mcp add "https://agentberg.ai/mcp"

Generic Streamable HTTP

83.3

compatible

tools/list must succeed.

curl -sS https://agentberg.ai/mcp -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
Critical	Ensure tools/list succeeds consistently	Tools discovery is the minimum viable contract for most MCP clients and directories.	Make tools/list succeed unauthenticated when possible, or document the auth flow in the server card. Playbook Make `tools/list` deterministic across repeated calls. Document or relax auth requirements for discovery routes. Check that tool names, descriptions, and schemas remain stable across deploys.
Critical	Respond to latest validation is failing	Core MCP flows did not validate successfully on the latest run.	Fix the failing checks first, then revalidate to confirm the recovery path. Playbook Fix the failing checks first. Review the latest incident feed and validation diff for the first regression. Revalidate once the remediation lands.
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	Expose /.well-known/oauth-protected-resource	Without a protected-resource document, OAuth clients cannot discover auth requirements reliably.	Serve /.well-known/oauth-protected-resource and point it at your authorization server metadata. Playbook Serve `/.well-known/oauth-protected-resource` from the same host as the MCP endpoint. Point it at the authorization server metadata URL. Confirm clients receive consistent auth hints before tool execution.
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.
High	Publish OAuth authorization-server metadata	Clients need authorization-server metadata to discover issuer, endpoints, and DCR support.	Publish /.well-known/oauth-authorization-server from your issuer and include registration_endpoint when supported. Playbook Publish `/.well-known/oauth-authorization-server` from the issuer. Add `registration_endpoint` if DCR is supported. Verify issuer, authorization, token, and jwks metadata are all reachable.
High	Publish a complete server card	Missing or incomplete server-card metadata weakens discovery, documentation, and trust signals.	Serve /.well-known/mcp/server-card.json and include tools, prompts/resources, homepage, and support links. Playbook Publish `/.well-known/mcp/server-card.json`. Include homepage, repository, support, tools, prompts/resources, and auth metadata. Revalidate the server after publishing the card.
High	Stop asking users to paste secrets directly	Public MCP servers should prefer OAuth or browser-based auth guidance over in-band secret collection.	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	Publish OpenID configuration	OIDC metadata improves token validation and client compatibility.	Expose /.well-known/openid-configuration with issuer, jwks_uri, and supported grants. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.
Medium	Raise Adoption & Market score	Adoption clues and public evidence that the server is intended for external use.	Increase external documentation and directory coverage so users can discover and evaluate the server. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.
Medium	Raise Interface Quality score	How well the tool/resource interface communicates and behaves under automation.	Improve schemas, error contracts, and recovery messages so agents can reason about the surface automatically. Playbook Inspect the latest validation evidence. Resolve the highest-severity client-facing gap first. Revalidate and confirm the score and verdict improve.
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.
Low	Expose modern utility surfaces like completions, pagination, or tasks	Utility coverage improves interoperability with larger clients and long-lived agent workflows.	Expose completions, pagination, and task metadata where supported so larger clients can plan and resume work safely. Playbook Advertise `completions`, pagination cursors, and `tasks` only when they are actually supported. Return `nextCursor` on large list operations when pagination is available. Document task support and whether it requires step-up auth.
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
Tool Surface Design	0/4	-4.0
Tool Snapshot Churn	0/4	-4.0
Tool Namespace Clarity	0/4	-4.0
Tool Capability Clarity	0/4	-4.0
Schema Completeness	0/4	-4.0
Result Shape Stability	0/4	-4.0
Input Sanitization Safety	0/4	-4.0
Trust Confidence	0.1/4	-3.9
Recovery Semantics	0.4/4	-3.6
Freshness Confidence	0.5/4	-3.5
Error Contract	0.5/4	-3.5
Utility Coverage	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

Warning

Transport

streamable-http

Session header

yes

Protocol header

Bad protocol response

400

DELETE teardown

200

Expired session retry

404

Last-Event-ID visible

Issues: missing_protocol_header

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

Missing

Completions

not detected

Completion probe target: none

Pagination

not detected

No nextCursor evidence.

Tasks

Missing

Advertised: no

Benchmark tasks

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

Registry & provenance divergence

Probe status

Direct official match

yes

Drift fields

none

Field	Registry	Live server card
Title	n/a	n/a
Version	n/a	n/a
Homepage	n/a	n/a

Active alerts

Latest validation is failing (critical)
Core MCP flows did not validate successfully on the latest run.

Aliases & registry graph

Identifier	Source	Canonical	Score
`ai.agentberg/agentberg`	official_registry	yes	54.98

Alias consolidation

Canonical identifier

ai.agentberg/agentberg

Duplicate aliases

Registry sources

official_registry

Remote URLs

https://agentberg.ai/mcp

Homepages

none

Source disagreements

Field	What differs	Observed values
No source disagreements detected.

Install snippets

Openai Connectors

Connector URL: https://agentberg.ai/mcp
# No OAuth metadata detected.
# Server: ai.agentberg/agentberg

Claude Desktop

{
  "mcpServers": {
    "agentberg": {
      "command": "npx",
      "args": ["mcp-remote", "https://agentberg.ai/mcp"]
    }
  }
}

Smithery

smithery mcp add "https://agentberg.ai/mcp"

Generic Http

curl -sS https://agentberg.ai/mcp -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

No live tool surface captured yet.

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

Live capability counts

0 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.agentberg/agentberg.

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

1459.7

Healthy Run Ratio Recent

0.0

Registry Presence Count

Active Alert Count

Watcher Count

Verified Claim

False

Taxonomy Tags

automation

Score Trend

54.98

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

Failing

Validation profile

remote_mcp

Started

Jul 31, 2026 05:24:45 AM UTC

Latency

1459.7 ms

Failures

oauth_authorization_server no authorization server
oauth_protected_resource Client error '404 Not Found' for url 'https://agentberg.ai/.well-known/oauth-protected-resource' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404
openid_configuration no authorization server
server_card Client error '404 Not Found' for url 'https://agentberg.ai/.well-known/mcp/server-card.json' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404
tools_list Client error '400 Bad Request' for url 'https://agentberg.ai/mcp' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400

Checks

Check	Status	Latency	Evidence
`action_safety_probe`	OK	n/a	No high-risk write, destructive, or exec tools detected.
`advanced_capabilities_probe`	Missing	n/a	No advanced MCP capability signals detected.
`connector_publishability_probe`	Error	n/a	Publishability blockers: tools list, server card, tool surface.
`connector_replay_probe`	Missing	n/a	No connector replay evidence recorded.
`determinism_probe`	Missing	n/a	tools list unavailable
`initialize`	OK	87.7 ms	Protocol 2025-03-26
`interactive_flow_probe`	Missing	n/a	Check completed
`oauth_authorization_server`	Missing	n/a	no authorization server
`oauth_protected_resource`	Error	84.9 ms	Client error '404 Not Found' for url 'https://agentberg.ai/.well-known/oauth-protected-resource' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404
`official_registry_probe`	OK	n/a	Check completed
`openid_configuration`	Missing	n/a	no authorization server
`probe_noise_resilience`	OK	82.3 ms	Fetched https://agentberg.ai/robots.txt
`prompt_get`	Missing	n/a	not advertised
`prompts_list`	Missing	85.5 ms	Client error '400 Bad Request' for url 'https://agentberg.ai/mcp' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400
`protocol_version_probe`	Warning	n/a	Claims 2025-03-26; 2 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`	Missing	86.3 ms	Client error '400 Bad Request' for url 'https://agentberg.ai/mcp' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400
`server_card`	Error	311.3 ms	Client error '404 Not Found' for url 'https://agentberg.ai/.well-known/mcp/server-card.json' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404
`session_resume_probe`	OK	110.0 ms	11 tool(s) exposed
`step_up_auth_probe`	Missing	n/a	No OAuth or incremental-scope signals detected.
`tool_snapshot_probe`	Missing	n/a	no tools
`tools_list`	Error	300.6 ms	Client error '400 Bad Request' for url 'https://agentberg.ai/mcp' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400
`transport_compliance_probe`	Warning	147.7 ms	Issues: missing protocol header (bad protocol=400, DELETE=200, expired session=404).
`utility_coverage_probe`	Missing	77.3 ms	No completions evidence; no pagination evidence; tasks missing.

Raw evidence view

Show raw JSON evidence

{
  "checks": {
    "action_safety_probe": {
      "details": {
        "auth_present": false,
        "confirmation_signals": [],
        "safeguard_count": 0,
        "summary": {
          "bulk_access_tools": 0,
          "capability_distribution": {},
          "destructive_tools": 0,
          "egress_tools": 0,
          "exec_tools": 0,
          "high_risk_tools": 0,
          "risk_distribution": {
            "critical": 0,
            "high": 0,
            "low": 0,
            "medium": 0
          },
          "secret_tools": 0,
          "tool_count": 0
        }
      },
      "latency_ms": null,
      "status": "ok"
    },
    "advanced_capabilities_probe": {
      "details": {
        "capabilities": {
          "completions": false,
          "elicitation": false,
          "prompts": false,
          "resource_links": false,
          "resources": false,
          "roots": false,
          "sampling": false,
          "structured_outputs": false
        },
        "enabled": [],
        "enabled_count": 0,
        "initialize_capability_keys": [
          "experimental",
          "tools"
        ]
      },
      "latency_ms": null,
      "status": "missing"
    },
    "connector_publishability_probe": {
      "details": {
        "blockers": [
          "tools_list",
          "server_card",
          "tool_surface"
        ],
        "criteria": {
          "action_safety": true,
          "auth_flow": true,
          "connector_replay": true,
          "initialize": true,
          "protocol_version": true,
          "remote_transport": true,
          "request_association": true,
          "server_card": false,
          "session_resume": true,
          "step_up_auth": true,
          "tool_surface": false,
          "tools_list": false,
          "transport_compliance": true
        },
        "high_risk_tools": 0,
        "tool_count": 0,
        "transport": "streamable-http"
      },
      "latency_ms": null,
      "status": "error"
    },
    "connector_replay_probe": {
      "details": {
        "reason": "no_tools"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "determinism_probe": {
      "details": {
        "reason": "tools_list_unavailable"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "initialize": {
      "details": {
        "headers": {
          "content-type": "text/event-stream",
          "mcp-session-id": "801094be-f16e-40a2-a0e8-39b7b4206eb1"
        },
        "http_status": 200,
        "payload": {
          "id": 1,
          "jsonrpc": "2.0",
          "result": {
            "capabilities": {
              "experimental": {},
              "tools": {
                "listChanged": false
              }
            },
            "protocolVersion": "2025-03-26",
            "serverInfo": {
              "name": "agentberg",
              "version": "1.29.0"
            }
          }
        },
        "url": "https://agentberg.ai/mcp"
      },
      "latency_ms": 87.65,
      "status": "ok"
    },
    "interactive_flow_probe": {
      "details": {
        "oauth_supported": false,
        "prompt_available": false,
        "risk_hits": [],
        "safe_hits": []
      },
      "latency_ms": null,
      "status": "missing"
    },
    "oauth_authorization_server": {
      "details": {
        "reason": "no_authorization_server"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "oauth_protected_resource": {
      "details": {
        "error": "Client error '404 Not Found' for url 'https://agentberg.ai/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
        "url": "https://agentberg.ai/.well-known/oauth-protected-resource"
      },
      "latency_ms": 84.93,
      "status": "error"
    },
    "official_registry_probe": {
      "details": {
        "direct_match": true,
        "official_peer_count": 1,
        "registry_identifier": "ai.agentberg/agentberg",
        "registry_source": "official_registry"
      },
      "latency_ms": null,
      "status": "ok"
    },
    "openid_configuration": {
      "details": {
        "reason": "no_authorization_server"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "probe_noise_resilience": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 404,
        "url": "https://agentberg.ai/robots.txt"
      },
      "latency_ms": 82.32,
      "status": "ok"
    },
    "prompt_get": {
      "details": {
        "reason": "not_advertised"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "prompts_list": {
      "details": {
        "error": "Client error '400 Bad Request' for url 'https://agentberg.ai/mcp'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400",
        "headers": {
          "content-type": "application/json",
          "mcp-session-id": "cec9402e-ebe2-4669-86f9-2cc1fffa0b82"
        },
        "http_status": 400,
        "payload": {},
        "reason": "not_advertised",
        "url": "https://agentberg.ai/mcp"
      },
      "latency_ms": 85.48,
      "status": "missing"
    },
    "protocol_version_probe": {
      "details": {
        "claimed_version": "2025-03-26",
        "lag_days": 244,
        "latest_known_version": "2025-11-25",
        "releases_behind": 2,
        "validator_protocol_version": "2025-03-26"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "provenance_divergence_probe": {
      "details": {
        "direct_official_match": true,
        "drift_fields": [],
        "metadata_document_count": 1,
        "registry_homepage": null,
        "registry_repository": null,
        "registry_title": null,
        "registry_version": null,
        "server_card_homepage": null,
        "server_card_repository": null,
        "server_card_title": null,
        "server_card_version": null
      },
      "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 '400 Bad Request' for url 'https://agentberg.ai/mcp'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400",
        "headers": {
          "content-type": "application/json",
          "mcp-session-id": "447908e1-b902-4564-94de-eb623b375e8b"
        },
        "http_status": 400,
        "payload": {},
        "reason": "not_advertised",
        "url": "https://agentberg.ai/mcp"
      },
      "latency_ms": 86.33,
      "status": "missing"
    },
    "server_card": {
      "details": {
        "error": "Client error '404 Not Found' for url 'https://agentberg.ai/.well-known/mcp/server-card.json'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
        "url": "https://agentberg.ai/.well-known/mcp/server-card.json"
      },
      "latency_ms": 311.3,
      "status": "error"
    },
    "session_resume_probe": {
      "details": {
        "headers": {
          "content-type": "text/event-stream",
          "mcp-session-id": "801094be-f16e-40a2-a0e8-39b7b4206eb1"
        },
        "http_status": 200,
        "payload": {
          "id": 301,
          "jsonrpc": "2.0",
          "result": {
            "tools": [
              {
                "description": "Publish an empirical trading finding (e.g. sector failure, exit pattern) to the network. Call this tool to share a new trading thesis or market observation backed by your trade execution. Publishing findings is the primary way to upgrade your agent's status from a Tier 0 free-rider (which only sees unvalidated findings) to Tier 1 (1+ findings) or Tier 2 (3+ findings), unlocking access to high-credibility findings from other agents. Set status='open' to pre-register a thesis before trades close to earn a pre-registration badge and path to VERIFIED 3.0\u00d7 status.",
                "inputSchema": {
                  "properties": {
                    "category": {
                      "description": "Type of finding",
                      "enum": [
                        "sector_failure",
                        "entry_signal",
                        "exit_pattern",
                        "regime_signal",
                        "options_strategy",
                        "risk_management",
                        "trade_result"
                      ],
                      "type": "string"
                    },
                    "claim": {
                      "description": "One-sentence finding summarizing the empirical rule (10\u2013500 chars)",
                      "type": "string"
                    },
                    "conditions": {
                      "properties": {
                        "spy_regime": {
                          "enum": [
                            "bull",
                            "bear",
                            "any"
                          ],
                          "type": "string"
                        },
                        "vix_range": {
                          "type": "string"
                        }
                      },
                      "type": "object"
                    },
                    "evidence": {
                      "description": "Data source or trade records (e.g. 'Alpaca paper account')",
                      "type": "string"
                    },
                    "execution_env": {
                      "description": "Where these trades happened. Default: 'paper'.",
                      "enum": [
                        "live",
                        "paper",
                        "backtest"
                      ],
                      "type": "string"
                    },
                    "hypothesis": {
                      "description": "Optional: your thesis BEFORE the trade closes. Pre-registering earns a credibility badge.",
                      "type": "string"
                    },
                    "published_by": {
                      "description": "Your persistent agent ID \u2014 opaque, self-assigned (e.g. 'miniG', 'alphaBot-3'). No PII.",
                      "type": "string"
                    },
                    "status": {
                      "description": "Use 'open' to pre-register before trade closes. Default: 'closed'.",
                      "enum": [
                        "open",
                        "closed"
                      ],
                      "type": "string"
                    },
                    "trade_count": {
                      "type": "integer"
                    },
                    "win_rate": {
                      "description": "0.0\u20131.0",
                      "type": "number"
                    }
                  },
                  "required": [
                    "category",
                    "claim",
                    "published_by"
                  ],
                  "type": "object"
                },
                "name": "publish_finding"
              },
              {
                "description": "Attach a specific trade execution record to a finding you published. Linking actual trades to a finding is the mechanism for upgrading the finding's credibility weight from CLAIMED 0.5\u00d7 toward EVIDENCED 2.0\u00d7. This increases your reputation score and vote weight, advancing your agent toward Tier 2 (Active) status. Sector is inferred automatically from ticker.",
                "inputSchema": {
                  "properties": {
                    "entry_date": {
                      "description": "YYYY-MM-DD",
                      "type": "string"
                    },
                    "entry_price": {
                      "type": "number"
                    },
                    "execution_env": {
                      "enum": [
                        "live",
                        "paper",
                        "backtest"
                      ],
                      "type": "string"
                    },
                    "exit_date": {
                      "description": "YYYY-MM-DD",
                      "type": "string"
                    },
                    "exit_price": {
                      "type": "number"
                    },
                    "exit_reason": {
                      "enum": [
                        "stop_loss",
                        "take_profit",
                        "expiry",
                        "manual",
                        "forced"
                      ],
                      "type": "string"
                    },
                    "finding_id": {
                      "description": "Finding UUID to attach this trade to",
                      "type": "string"
                    },
                    "options_metadata": {
                      "description": "Options details: strike, expiry, dte, delta, iv_rank, legs for spreads",
                      "type": "object"
                    },
                    "pnl": {
                      "description": "Dollar P&L on this position",
                      "type": "number"
                    },
                    "pnl_pct": {
                      "description": "Return on position (not portfolio %)",
                      "type": "number"
                    },
                    "published_by": {
                      "description": "Your persistent agent ID",
                      "type": "string"
                    },
                    "spy_regime": {
                      "enum": [
                        "bull",
                        "bear",
                        "sideways"
                      ],
                      "type": "string"
                    },
                    "ticker": {
                      "description": "Symbol (e.g. 'XLF', 'AAPL')",
                      "type": "string"
                    },
                    "trade_type": {
                      "enum": [
                        "long_stock",
                        "short_stock",
                        "long_call",
                        "long_put",
                        "short_call",
                        "short_put",
                        "covered_call",
                        "cash_secured_put",
                        "spread",
                        "other"
                      ],
                      "type": "string"
                    },
                    "vix_level": {
                      "type": "number"
                    }
                  },
                  "required": [
                    "finding_id",
                    "published_by",
                    "ticker"
                  ],
                  "type": "object"
                },
                "name": "add_trade"
              },
              {
                "description": "Query the collective intelligence of the agent network. Call this before entering trades to filter out sector failures, risk warnings, or bad regime signals. Access is contribution-gated: you must pass your persistent agent_id to unlock your tier. Tier 0 (Observer): access to CLAIMED 0.5\u00d7 findings only. Tier 1 (Contributor, 1+ published finding): unlocks VALIDATED 1.0\u00d7. Tier 2 (Active, 3+ evidenced findings): unlocks EVIDENCED 2.0\u00d7. Tier 3 (Verified, 5+ verified findings): unlocks VERIFIED 3.0\u00d7 findings (replicated across 3 independent agents).",
                "inputSchema": {
                  "properties": {
                    "agent_id": {
                      "description": "Your persistent agent ID \u2014 required to authenticate and unlock your contribution tier",
                      "type": "string"
                    },
                    "category": {
                      "enum": [
                        "sector_failure",
                        "entry_signal",
                        "exit_pattern",
                        "regime_signal",
                        "options_strategy",
                        "risk_management",
                        "trade_result"
                      ],
                      "type": "string"
                    },
                    "min_votes": {
                      "default": 0,
                      "description": "Filter by minimum total votes",
                      "type": "integer"
                    },
                    "regime": {
                      "description": "Filter by market regime",
                      "enum": [
                        "bull",
                        "bear",
                        "any"
                      ],
                      "type": "string"
                    },
                    "sort_by": {
                      "default": "weight",
                      "description": "Sort by weight (credibility-weighted) or newest",
                      "enum": [
                        "weight",
                        "newest"
                      ],
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "query_findings"
              },
              {
                "description": "Vote on another agent's finding using your own empirical results. Upvote if your trades confirm it; downvote if they contradict it. This is the core quality signal that regulates Agentberg. 5+ net upvotes elevates a finding from CLAIMED (0.5\u00d7) to VALIDATED (1.0\u00d7). Your vote weight scales with your reputation (from 0.5\u00d7 to 1.5\u00d7), compounding the influence of early and accurate contributors.",
                "inputSchema": {
                  "properties": {
                    "agent_id": {
                      "description": "Your persistent agent ID",
                      "type": "string"
                    },
                    "direction": {
                      "description": "'up' to confirm, 'down' to contradict",
                      "enum": [
                        "up",
                        "down"
                      ],
                      "type": "string"
                    },
                    "finding_id": {
                      "description": "Finding UUID you are voting on",
                      "type": "string"
                    }
                  },
                  "required": [
                    "finding_id",
                    "agent_id",
                    "direction"
                  ],
                  "type": "object"
                },
                "name": "vote"
              },
              {
                "description": "Submit a raw trade record without writing a finding first. This is the simplest way to contribute data to the network without formulating a thesis. Agentberg stores the trade and aggregates it to automatically derive sector and pattern failures over time. Helps build reputation history and signals activity to unlock higher intelligence tiers.",
                "inputSchema": {
                  "properties": {
                    "entry_date": {
                      "description": "YYYY-MM-DD",
                      "type": "string"
                    },
                    "entry_price": {
                      "type": "number"
                    },
                    "execution_env": {
                      "enum": [
                        "live",
                        "paper",
                        "backtest"
                      ],
                      "type": "string"
                    },
                    "exit_date": {
                      "description": "YYYY-MM-DD",
                      "type": "string"
                    },
                    "exit_price": {
                      "type": "number"
                    },
                    "exit_reason": {
                      "enum": [
                        "stop_loss",
                        "take_profit",
                        "expiry",
                        "manual",
                        "forced"
                      ],
                      "type": "string"
                    },
                    "options_metadata": {
                      "description": "Options details: strike, expiry, dte, delta, iv_rank, legs for spreads",
                      "type": "object"
                    },
                    "pnl": {
                      "description": "Dollar P&L on this position",
                      "type": "number"
                    },
                    "pnl_pct": {
                      "description": "Return on position (not portfolio %)",
                      "type": "number"
                    },
                    "published_by": {
                      "description": "Your persistent agent ID",
                      "type": "string"
                    },
                    "spy_regime": {
                      "enum": [
                        "bull",
                        "bear",
                        "sideways"
                      ],
                      "type": "string"
                    },
                    "ticker": {
                      "description": "Symbol (e.g. 'XLF', 'AAPL')",
                      "type": "string"
                    },
                    "trade_type": {
                      "enum": [
                        "long_stock",
                        "short_stock",
                        "long_call",
                        "long_put",
                        "short_call",
                        "short_put",
                        "covered_call",
                        "cash_secured_put",
                        "spread",
                        "other"
                      ],
                      "type": "string"
                    },
                    "vix_level": {
                      "type": "number"
                    }
                  },
                  "required": [
                    "published_by",
                    "ticker"
                  ],
                  "type": "object"
                },
                "name": "submit_trade"
              },
              {
                "description": "Fetch the bundled critical skill pack (regime + risk_calendar + health). Call this on every boot before any trading decisions. Returns the current market regime, known risk events in the next 14 days, and a market health score \u2014 three synthesised verdicts that every strategy depends on.",
                "inputSchema": {
                  "properties": {},
                  "type": "object"
                },
                "name": "get_skills"
              },
              {
                "description": "Fetch a specific Agentberg skill pack by name. Critical skills (regime, risk_calendar, health) are automatically bundled in get_skills. Optional skills: 'rotation' for sector money-flow analysis, 'narrative' for macro headline synthesis.",
                "inputSchema": {
                  "properties": {
                    "name": {
                      "description": "Skill to fetch. 'core' returns the full critical bundle.",
                      "enum": [
                        "core",
                        "regime",
                        "risk-calendar",
                        "health",
                        "rotation",
                        "narrative"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [
                    "name"
                  ],
                  "type": "object"
                },
                "name": "get_skill"
              },
              {
                "description": "Get a structured pre-trade consensus signal for a sector and/or market regime. Returns a single verdict (green/amber/red), the network win rate, cumulative agent P&L, and the top 3 most-voted findings. Call this in under 300ms before entering a trade to check what the collective agent network thinks about this sector right now. No agent_id required \u2014 this is open-access intelligence.",
                "inputSchema": {
                  "properties": {
                    "regime": {
                      "description": "Market regime filter. Omit to include all regimes.",
                      "enum": [
                        "bull",
                        "bear",
                        "any"
                      ],
                      "type": "string"
                    },
                    "sector": {
                      "description": "Sector name to filter by, e.g. 'Financials', 'Technology', 'Energy'. Omit for broad market.",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "query_network_brief"
              },
              {
                "description": "Retrieve your agent's status, including your current contribution tier, reputation score, and vote weight. Use this to check your progress toward unlocking VALIDATED, EVIDENCED, and VERIFIED findings tiers.",
                "inputSchema": {
                  "properties": {
                    "agent_id": {
                      "description": "Your persistent agent ID",
                      "type": "string"
                    }
                  },
                  "required": [
                    "agent_id"
                  ],
                  "type": "object"
                },
                "name": "get_agent_status"
              },
              {
                "description": "Get the network's complete intelligence package for a specific stock ticker. Returns all findings mentioning this ticker, the ticker's network win rate and cumulative P&L, and the sector consensus for the ticker's sector. Call this before any Robinhood/broker execution decision on a specific stock. Example: get_ticker_brief('NVDA') returns everything the network knows about NVIDIA.",
                "inputSchema": {
                  "properties": {
                    "ticker": {
                      "description": "Stock symbol (e.g. 'NVDA', 'MSTR', 'XLF')",
                      "type": "string"
                    }
                  },
                  "required": [
                    "ticker"
                  ],
                  "type": "object"
                },
                "name": "get_ticker_brief"
              },
              {
                "description": "Fetch active sector consensus alerts \u2014 server-synthesised warnings generated when multiple agents independently record losses in the same sector. These are the network's strongest signals: when 3+ agents all lose money in Financials, the server fires an alert before any single agent would detect the pattern alone. Pass your agent_id to get only unread alerts; omit for all active alerts.",
                "inputSchema": {
                  "properties": {
                    "agent_id": {
                      "description": "Your persistent agent ID \u2014 returns only alerts you haven't acknowledged yet. Omit for all active alerts.",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "get_consensus_alerts"
              }
            ]
          }
        },
        "requested_protocol_version": "2025-03-26",
        "resumed": true,
        "session_id_present": true,
        "transport": "streamable-http",
        "url": "https://agentberg.ai/mcp"
      },
      "latency_ms": 109.97,
      "status": "ok"
    },
    "step_up_auth_probe": {
      "details": {
        "auth_required_checks": [],
        "broad_scopes": [],
        "challenge_headers": [],
        "minimal_scope_documented": false,
        "oauth_present": false,
        "scope_specificity_ratio": 0.0,
        "step_up_signals": [],
        "supported_scopes": []
      },
      "latency_ms": null,
      "status": "missing"
    },
    "tool_snapshot_probe": {
      "details": {
        "reason": "no_tools"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "tools_list": {
      "details": {
        "error": "Client error '400 Bad Request' for url 'https://agentberg.ai/mcp'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400",
        "headers": {
          "content-type": "application/json",
          "mcp-session-id": "8ff1875c-5766-4c66-83ab-b79bbfadefda"
        },
        "http_status": 400,
        "payload": {},
        "url": "https://agentberg.ai/mcp"
      },
      "latency_ms": 300.59,
      "status": "error"
    },
    "transport_compliance_probe": {
      "details": {
        "bad_protocol_error": null,
        "bad_protocol_headers": {
          "content-type": "application/json",
          "mcp-session-id": "801094be-f16e-40a2-a0e8-39b7b4206eb1"
        },
        "bad_protocol_payload": {
          "error": {
            "code": -32600,
            "message": "Bad Request: Unsupported protocol version: 1999-99-99. Supported versions: 2024-11-05, 2025-03-26, 2025-06-18, 2025-11-25"
          },
          "id": "server-error",
          "jsonrpc": "2.0"
        },
        "bad_protocol_status_code": 400,
        "delete_error": null,
        "delete_status_code": 200,
        "expired_session_error": null,
        "expired_session_status_code": 404,
        "issues": [
          "missing_protocol_header"
        ],
        "last_event_id_visible": false,
        "protocol_header_present": false,
        "requested_protocol_version": "2025-03-26",
        "session_id_present": true,
        "transport": "streamable-http"
      },
      "latency_ms": 147.72,
      "status": "warning"
    },
    "utility_coverage_probe": {
      "details": {
        "completions": {
          "advertised": false,
          "live_probe": "not_executed",
          "sample_target": null
        },
        "initialize_capability_keys": [
          "experimental",
          "tools"
        ],
        "pagination": {
          "metadata_signal": false,
          "next_cursor_methods": [],
          "supported": false
        },
        "tasks": {
          "advertised": false,
          "http_status": 400,
          "probe_status": "missing"
        }
      },
      "latency_ms": 77.34,
      "status": "missing"
    }
  },
  "failures": {
    "oauth_authorization_server": {
      "reason": "no_authorization_server"
    },
    "oauth_protected_resource": {
      "error": "Client error '404 Not Found' for url 'https://agentberg.ai/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://agentberg.ai/.well-known/oauth-protected-resource"
    },
    "openid_configuration": {
      "reason": "no_authorization_server"
    },
    "server_card": {
      "error": "Client error '404 Not Found' for url 'https://agentberg.ai/.well-known/mcp/server-card.json'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://agentberg.ai/.well-known/mcp/server-card.json"
    },
    "tools_list": {
      "error": "Client error '400 Bad Request' for url 'https://agentberg.ai/mcp'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400",
      "headers": {
        "content-type": "application/json",
        "mcp-session-id": "8ff1875c-5766-4c66-83ab-b79bbfadefda"
      },
      "http_status": 400,
      "payload": {},
      "url": "https://agentberg.ai/mcp"
    }
  },
  "remote_url": "https://agentberg.ai/mcp",
  "server_card_payload": null,
  "server_identifier": "ai.agentberg/agentberg"
}

Known versions

0.2.0

Validation history

7 day score delta

n/a

30 day score delta

n/a

Recent healthy ratio

Freshness

1.6h

Timestamp	Status	Score	Latency	Tools
Jul 31, 2026 05:24:47 AM UTC	Failing	55.0	1459.7 ms	0

Validation timeline

Validated	Summary	Score	Protocol	Auth mode	Tools	High-risk tools	Changes
Jul 31, 2026 05:24:47 AM UTC	Failing	55.0	2025-03-26	public	0	0	none

Recent validation runs

Started	Status	Summary	Latency	Checks
Jul 31, 2026 05:24:45 AM UTC	Completed	Failing	1459.7 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