Trustmodel Mcp
Score any AI for trust across 10 dimensions; evaluate, monitor & govern LLMs and agents.
- tools
- 21
- auth
- Secret needed
- transport
- STDIO
- env vars
- 4
- last updated
- Nov 12, 2026
Tools
21 toolsPublic tool metadata for what this MCP can expose to an agent.
trustmodel_evaluateCreate a batch evaluation run against a specified AI model.
Create a batch evaluation run against a specified AI model.
No parameter schema in public metadata yet.
trustmodel_scoreFetch the detail (status, completion %, scores) for an evaluation created via trustmodel_evaluate.
Fetch the detail (status, completion %, scores) for an evaluation created via trustmodel_evaluate.
No parameter schema in public metadata yet.
trustmodel_creditsCheck remaining API credit balance.
Check remaining API credit balance.
No parameter schema in public metadata yet.
trustmodel_trace_startOpen a new trace session.
Open a new trace session.
No parameter schema in public metadata yet.
trustmodel_trace_stepAppend a single step to the active session.
Append a single step to the active session.
No parameter schema in public metadata yet.
trustmodel_trace_finalizeClose the session, upload the trace, and auto-create the evaluation run.
Close the session, upload the trace, and auto-create the evaluation run.
No parameter schema in public metadata yet.
trustmodel_upload_tracePUT an already-built trace JSON object to cloud storage.
PUT an already-built trace JSON object to cloud storage.
No parameter schema in public metadata yet.
trustmodel_evaluate_agentCreate an agentic evaluation run against a previously-uploaded trace.
Create an agentic evaluation run against a previously-uploaded trace.
No parameter schema in public metadata yet.
trustmodel_score_agentFetch the detail (scores, grade, summary) for an agentic evaluation run.
Fetch the detail (scores, grade, summary) for an agentic evaluation run.
No parameter schema in public metadata yet.
trustmodel_guardrails_checkEvaluate a proposed agent action against the organization's cloud policy before execution.
Evaluate a proposed agent action against the organization's cloud policy before execution.
No parameter schema in public metadata yet.
trustmodel_mcp_scan_serverRun AGT's MCP security scanner over a third-party MCP server's tool list to detect tool poisoning, typosquatting, hidden instructions.
Run AGT's MCP security scanner over a third-party MCP server's tool list to detect tool poisoning, typosquatting, hidden instructions.
No parameter schema in public metadata yet.
trustmodel_shadow_discovery_scan_pathsScan local filesystem paths for unregistered/shadow AI usage.
Scan local filesystem paths for unregistered/shadow AI usage.
No parameter schema in public metadata yet.
trustmodel_shadow_discovery_fingerprint_keysDetect & fingerprint OpenAI/Anthropic API keys found on disk.
Detect & fingerprint OpenAI/Anthropic API keys found on disk.
No parameter schema in public metadata yet.
trustmodel_redteam_evaluateLaunch an adversarial red-team evaluation against a model/endpoint.
Launch an adversarial red-team evaluation against a model/endpoint.
No parameter schema in public metadata yet.
trustmodel_redteam_resultsFetch results for a red-team evaluation.
Fetch results for a red-team evaluation.
No parameter schema in public metadata yet.
trustmodel_redteam_list_probesList available red-team probes/attack categories.
List available red-team probes/attack categories.
No parameter schema in public metadata yet.
trustmodel_shadowai_scanStart a Shadow AI scan to find unregistered AI use across an environment.
Start a Shadow AI scan to find unregistered AI use across an environment.
No parameter schema in public metadata yet.
trustmodel_shadowai_resultsFetch results for a Shadow AI scan.
Fetch results for a Shadow AI scan.
No parameter schema in public metadata yet.
trustmodel_shadowai_eventsStream the detection events for a Shadow AI scan.
Stream the detection events for a Shadow AI scan.
No parameter schema in public metadata yet.
agentcert_issueMint a verifiable AgentCert for an agent off an evaluation run (signed VC + X.509). Requires an API key.
Mint a verifiable AgentCert for an agent off an evaluation run (signed VC + X.509). Requires an API key.
No parameter schema in public metadata yet.
agentcert_verifyVerify an agent's AgentCert (signature, revocation, live TrustScore, freshness). Public — no API key.
Verify an agent's AgentCert (signature, revocation, live TrustScore, freshness). Public — no API key.
No parameter schema in public metadata yet.
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TRUSTMODEL_API_KEYsecretTrustModel API key (free — 5 credits / $500 at https://app.trustmodel.ai) for calibrated cloud scoring. Optional: the local trustmodel_evaluate_local and trustmodel_govern tools work without it.
TRUSTMODEL_BASE_URLOverride the TrustModel API base URL (default https://api.trustmodel.ai).
TRUSTMODEL_PROFILEdefault: defaultTool profile: 'default' exposes the 7 daily-driver tools; 'security' / 'advanced' / 'all' expose all 23.
TRUSTMODEL_GUARDRAIL_FAIL_MODEdefault: fail_closedBehavior only when no HTTP response is received: fail_closed (default) or fail_open. HTTP refusals always block.
Readme
TrustModel MCP Server
A Model Context Protocol (MCP) server that lets any AI agent call TrustModel for trust evaluation, safety/bias analysis, and end-to-end agentic trace evaluation.
Works with Claude Code, Cursor, Windsurf, Claude Desktop, and any other MCP-compatible client.
One-click install
Details
- Repository
- github.com/pdxlab/trustmodel-mcp-server
- Category
- Monitoring & Observability
- Package
@trustmodel/mcp-server- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active
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