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MCP RAG Server

by LuizDoPc
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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 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: get_chunk retrieves a specific chunk, ingest_docs re-ingests documents, refresh_index clears and rebuilds the index, and search performs semantic similarity queries. The descriptions make it easy to differentiate between retrieval, ingestion, index management, and search operations.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., get_chunk, ingest_docs, refresh_index, search), using snake_case throughout. The naming is predictable and readable, with no deviations in style or convention across the set.

    Tool Count4/5

    With 4 tools, the count is reasonable for a RAG server's core operations, covering ingestion, indexing, retrieval, and search. It feels slightly thin but well-scoped, as each tool earns its place without bloat, though additional utilities like document deletion or status checks might be considered minor gaps.

    Completeness4/5

    The toolset covers essential RAG workflows: ingestion (ingest_docs), index management (refresh_index), retrieval (get_chunk), and search (search). Minor gaps exist, such as no explicit update or delete operations for documents or chunks, but agents can work around this by re-ingesting or refreshing the index as needed.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources