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kiemluc01

Agent Registry MCP

by kiemluc01
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Python
Remote

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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

    C2/5.0

    Scored across 15 tools

    Disambiguation4/5

    Most tools clearly target a distinct resource+action pair (context/skill/project/memory/agent), and parallel search/get operations across resources are reasonably distinguishable. However, skill_resolve versus skill_get is ambiguous without descriptions, and memory_get versus memory_recent plus context_search versus context_get have overlapping retrieval semantics that an agent could easily misselect.

    Naming Consistency5/5

    All 15 tools use consistent snake_case with a resource-first, action-second pattern (e.g. context_search, skill_get, memory_register, project_detect). The two *_status tools (registry_status, agent_status) fit the same resource_action convention rather than deviating from it.

    Tool Count5/5

    15 tools is at the upper end but well-scoped for a registry spanning six resource domains (context, skill, project, memory, registry, agent), with roughly 2-3 tools per domain and no obvious redundancy.

    Completeness3/5

    The surface covers registration, lookup, and search for some resources, and memory has a full lifecycle including memory_transition. But there is no skill_register, no context_register, no update/delete operations for projects or contexts, and agent support is limited to a single status tool, leaving notable lifecycle gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources