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gamai-trust-mcp

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by gamai-io

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      Enables agents to verify claims against tamper-evident evidence, check inputs for prompt injection, and record blocked attacks as reusable antibodies. It also exposes trust statistics and a self-contained demo over stdio, so refusal and unverified outcomes are surfaced as first-class results.
      5
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    • F
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      An agent memory server that admits only evidence-backed claims, provides tamper-evident recall and verification, and issues signed certificates for erasure, enabling trustworthy and auditable agent memory.
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    • A
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      Every agent action is recorded in a SHA-256 hash chain. Prove to clients that your agent did what it said it did. Record, query, verify, and export agent activity.
      3
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    • A
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      Enables capturing a tamper-evident, hash-chained local record of every AI agent tool call — both the decision before a tool runs and its outcome — so you can review what the agent actually did in order, detect edits, deletions, or reordering at the exact index, and export a signed evidence pack any third party can verify with no installs.
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    TDQS

    B3.2/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool targets a distinct operation: claim verification, injection detection, antibody storage, store statistics, and demos. The only mild adjacency is between trust_check_injection (which uses learned antibodies) and trust_add_antibody (which creates them), but the action boundaries are clear from the descriptions.

    Naming Consistency4/5

    All names use snake_case with a uniform `trust_` prefix, and the core tools follow a verb_noun pattern (trust_verify_claims, trust_check_injection, trust_add_antibody). trust_stats and trust_demo drop the verb, a minor deviation but still readable and predictable.

    Tool Count5/5

    Five tools is well within the ideal range for a focused trust/verification server, and each earns its place in the workflow (check, verify, learn, inspect, demo). No obvious padding beyond the demo tool.

    Completeness3/5

    The antibody store has create (add) and aggregate stats but no listing/querying of individual antibodies, no delete or deactivate/expire operation, which are notable gaps for managing a learned-signature store. Verification and injection paths are otherwise complete enough for core workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues