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shi-kirill

hermes-docs-mcp

by shi-kirill

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to search, navigate, and read the complete Hermes Agent documentation through a local SQLite FTS5 index, with tools for full-text search, page reading, and browsing documentation structure.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to search, retrieve, and list Hermes Agent documentation locally, version-matched to the installed commit, with fallback to GitHub when no local checkout exists.
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to search a local, fully offline personal document library (Markdown/txt/PDF/docx) via SQLite FTS5 trigram search with subject-terminology expansion, returning every hit with its domain, document title, section path, and page or offset provenance. It also exposes domain statistics, incremental ingestion, and document deprecation as tools, alongside a read-only, runtime-persona-scoped ask/coverage mode.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      Creates a local database of indexed technical documentation from web crawls and local files, enabling AI agents to efficiently search and retrieve documentation through MCP tools.
      1
      -

    TDQS

    A4.6/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: search returns relevant fragments from the documentation, while fetch retrieves a full page in markdown. Their descriptions explicitly state when to use each, leaving no ambiguity for an agent.

    Naming Consistency5/5

    Both tool names are single, simple verbs (search, fetch) that directly describe their actions. This consistent minimalist pattern is predictable and easy to remember.

    Tool Count3/5

    With only 2 tools, the server feels slightly thin for a documentation MCP, though the scope is narrow and focused on search + retrieval. According to the calibration, 1-2 tools is borderline, but each tool clearly earns its place.

    Completeness4/5

    The pair of search and fetch covers the core documentation lookup workflow well: find relevant fragments, then fetch the full page if needed. A minor gap is the lack of direct browsing or listing of documentation sections, but agents can work around this via search.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues