TrustModel MCP Server
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- AlicenseNot gradedqualityNot gradedmaintenanceProvides AI agents with trust scoring and reputation management capabilities for secure interactions. Enables agents to check trust scores, rate interactions, and manage disputes before transacting with other agents.-
- AlicenseAqualityFmaintenanceEnables AI agents to query trust scores for MCP servers and agent skills while scanning content for potential security issues. It provides direct access to the Vigile trust registry to help users evaluate the safety of third-party tools and integrations.934 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to check trustworthiness before recommending URLs, products, or organizations, with fail-closed pass/fail verdicts and attested-only recommendations.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to access observability and evaluation data, including run history, span traces, LLM-as-judge evaluation results, and regression reports.MIT
- AlicenseAqualityAmaintenanceEnables AI agents to self-verify their authorized scope, check risk scores, and log behavioral events via the Kakunin compliance API.338 npm1Apache 2.0
- MIT
TDQS
Scored across 6 tools
Each tool serves a clear, distinct purpose: trace capture (start/step/finalize), local evaluation, governance check, and retrieval of cloud evaluation results. There is no overlapping functionality; a tool for one task cannot be easily confused with another.
All tools follow a consistent 'trustmodel_verb[_modifier]' pattern using snake_case. Verbs like score, trace_start, trace_step, trace_finalize, evaluate_local, and govern are descriptive and follow a predictable convention.
With 6 tools covering trace capture (3), evaluation (2 including retrieval), and governance (1), the count is well-scoped for an agentic evaluation and governance server. No tool is extraneous, and the set is not too sparse or bloated.
The set has notable gaps: trustmodel_trace_finalize references trustmodel_score_agent which does not exist, and trustmodel_score expects an evaluation_id from a missing trustmodel_evaluate tool. The cloud evaluation path is incomplete, leaving agents unable to retrieve scores from trace evaluations or perform cloud evaluations.