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@rosalinddb/mcp

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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

    A3.7/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: dataset management (create, delete, get, list), vector operations (ingest, get, delete, list, query), usage monitoring, and API key listing. There is no overlap or ambiguity between tools.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (e.g., create_dataset, ingest_vectors, list_api_keys). No deviations or mixed conventions are present.

    Tool Count5/5

    11 tools is well-scoped for a vector database MCP server, covering dataset lifecycle, vector CRUD and search, usage monitoring, and API key management. Each tool serves a clear purpose.

    Completeness4/5

    The tool set covers core operations: dataset CRUD (except update), vector ingest/read/delete/query, and API key listing. Minor gaps exist, such as missing dataset update or API key revocation, but agents can work around them.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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