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Evaluate, monitor, and govern AI trust across ten key dimensions.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.karlmehta/trustmodel-mcp" MCP server from askskill: Run: claude mcp add 'io-github-karlmehta-trustmodel-mcp' -- npx -y @trustmodel/mcp-server
Use trustmodel-mcp to evaluate our customer support chatbot across 10 dimensions, focusing on security, reliability, transparency, and bias risk. Provide an overall score and improvement recommendations.
Returns dimension-level scores, an overall trust result, key risks, and actionable recommendations.
Compare the trust scores of our agent’s current version and previous version, identify dimensions that declined, and explain which changes may have introduced new governance risks.
Outputs a version comparison, score change summary, added risk analysis, and regression investigation directions.
Before launch, use trustmodel-mcp to run a governance review of this LLM application. Provide the basis for release readiness and any additional controls required.
Generates a pre-launch governance assessment, release risk judgment, and a list of recommended additional controls.
Check MCP server trust scores and security reviews before connecting.
Verify agent trust scores, submit reviews, and find trusted agents safely.
Verify and manage AI agent identity trust for safer agent operations.
Create trust anchors, add attestations, and verify trust chains securely.
Score trust and scan safety for MCP servers, AI skills, and npm packages.
Check recalls and scam signals before purchases with clear risk verdicts.