MCP TrustOps for enterprise AI admins

Approve MCP apps before employees use them, monitor drift, and export enforceable policy.

Audience

Enterprise AI admins

Primary API

/v1/servers/{namespace}/{name}/policy

Policy exports

JSON, Rego, YAML, CI

Use cases

Vet public or internal MCP servers before workspace publishing.
Watch score, schema, auth, tool-surface, and freshness changes.
Export ChatGPT, Claude, Cursor, OPA, gateway, and CI-ready policy artifacts.

Proof points

Server reports include client readiness, authenticated-validation readiness, and freshness SLA status.
Watchlists support webhook, Slack, Teams, email, digest, and alert-type metadata.
Policy exports define allow/deny, approval, blocked tools, required scopes, and max risk.

Sample flow

Flow

server report -> policy export -> workspace allowlist

Sample output

{
  "server": "io.sentinelsignal/scoring",
  "production_trust_decision": "block_for_production",
  "workspace_allowlist": false,
  "requires_human_approval": true,
  "reason": "stale evidence + write/exec approval gaps + unauthenticated behavior not proven"
}

Related buyer paths

Agent platform teams MCP publishers Security teams MCP marketplaces