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agent-evidence-mcp

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by probityai-archive
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Python
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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have clearly distinct roles: digest checking, JSON canonicalization, DSSE verification, claim verification, vector corpus operations, and term lookup. The only mild overlap is between verify_claim, verify_sample, and run_vectors, since all involve running verification logic, but their descriptions distinguish live claims, bundled samples, and corpus replay.

    Naming Consistency5/5

    All tool names use consistent snake_case with a verb_noun or verb_object pattern: check_artifact_digest, canonicalize_json, verify_dsse, verify_claim, verify_sample, list_vector_corpora, run_vectors, explain_vector, lookup_term. There are no mixed conventions or vague standalone names.

    Tool Count5/5

    Nine tools is a well-scoped set for a focused evidence-verification server. Each tool maps to a distinct operation across canonicalization, verification, vector replay, and vocabulary lookup without excessive surface area.

    Completeness4/5

    The server covers core verification workflows: digest checking, JSON canonicalization, DSSE and claim verification, sample checks, vector corpus inspection/replay, and vocabulary lookup. Minor gaps may exist around artifact fetching/parsing or signing/generation, but the verification lifecycle is largely covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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