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compendio-mcp

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      Lets AI agents search and read a folder of Markdown documentation at query time, exposing heading-level search, whole-page or section retrieval, and page listing as tools and resources over stdio or Streamable HTTP. Can run as a CLI, a hosted endpoint, or a library inside an existing Node or Next.js site.
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    TDQS

    A4.7/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a distinct role: search_docs for finding relevant content, docs_overview for enumerating the corpus, and read_doc for retrieving specific sections. The descriptions explicitly cross-reference when to use one over the other, leaving no real ambiguity.

    Naming Consistency4/5

    read_doc and search_docs follow a clear verb_noun pattern, while docs_overview is a noun-phrase exception. All names are lowercase snake_case, so the set is still readable and mostly predictable.

    Tool Count5/5

    Three tools is an ideal size for a documentation-corpus server: enumerate, search, and read cover the full exploration workflow without redundancy. Every tool earns its place.

    Completeness5/5

    The read-side lifecycle is fully covered: search to locate, overview to enumerate, and read to retrieve content. There are no obvious gaps for a read-only documentation server.

    Maintenance

    ActivityActive
    ResponsivenessNo issues