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TOKGS
by TOKGS

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Alternatives to ardupilot-research-mcp

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables engineers and AI assistants to search source-backed hardware design guidelines, retrieve detailed conditions and limitations, and trace citations to original sources, all through a read-only offline interface.
      AGPL 3.0
    • A
      license
      B
      quality
      A
      maintenance
      Enables question answering over technical documents (Markdown, TXT, PDF) using hybrid retrieval (vector + lexical) with cited sources and audit logging, fully locally with optional cloud fallback.
      4
      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.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables private, offline semantic search across local files (documents, images, videos) using OCR and vector search, and optionally performs web research with cited sources.
      AGPL 3.0
    • A
      license
      A
      quality
      B
      maintenance
      Enables developers to index and search their own local PDF, DOCX, Markdown, and text documents from an MCP client or terminal, combining semantic similarity with keyword matching for exact technical terms. Everything runs on the user's machine with no API key, Docker, or external database, so private documents stay private and work offline after the initial model download.
      9
      2,150 npm
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables semantic search and question answering over a knowledge base using hybrid retrieval and grounded answers, all running offline with no API keys.
      4
      MIT