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Gatoco

Mnē-MCP

by Gatoco
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Python
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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

    A3.5/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a distinct role: indexing, LLM-based querying, raw vector search, deletion, listing, stats, and config. Query and search are clearly separated by whether the LLM is involved.

    Naming Consistency5/5

    All tool names are lowercase, single-word commands that follow a consistent imperative/noun style. The set is uniform and predictable despite not using a verb_noun pattern.

    Tool Count5/5

    Seven tools is well-scoped for a focused memory/RAG server. Each tool covers a necessary operation without redundancy or bloat.

    Completeness5/5

    The toolset covers the full indexed-document lifecycle: add via index, retrieve via search/query, remove via delete, inspect via list and stats, and configure via config. No critical missing operation is apparent.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources