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GLOBAL-AI-GOVERNANCE

Global AI Governance MCP server

by GLOBAL-AI-GOVERNANCE
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Python
Hybrid

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    Deploy Server
    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

    A4.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct artifact and action: checking an AI inventory CSV, building a Decision Pack, and verifying an Agent Trust Passport. There is no meaningful overlap in purpose or inputs, so an agent can select correctly without hesitation.

    Naming Consistency5/5

    All three names follow a clean snake_case verb_noun pattern (check_inventory, build_decision_pack, validate_passport). The convention is applied uniformly with no style drift.

    Tool Count4/5

    Three tools is on the lean side for a server with a broad 'Global AI Governance' name, but each tool represents a substantial, self-contained workflow. It is slightly under-scoped rather than padded, which is acceptable.

    Completeness4/5

    The surface covers the core verification/assessment workflows (inventory policy checks, decision packaging, passport validation) with clear non-authorizing semantics. It lacks any authoring or lifecycle operations (e.g., generating inventories or issuing passports), but those may fall outside the server's reference-toolkit scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources