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Related Servers

Alternatives to manual-rag

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to search local component-manual corpora via hybrid semantic, full-text, and substring retrieval with table recognition and OCR fallback for scanned pages. Provides tools for literal/regex grepping, reading single or multiple pages, navigating bookmarks and outlines, listing categories and indexed files, and checking index and dependency status.
      AGPL 3.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables intelligent search and question-answering over PDF documents using semantic similarity and keyword search. Supports OCR for scanned PDFs, persistent vector storage with ChromaDB, and maintains source tracking with page numbers.
      6
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables Claude Code to perform local hybrid search over crawled web pages and personal PDF, Markdown, HTML, and text documents, returning cited passages with source, section, page, and score details. It also exposes tools to list documents, retrieve full document text, and check index status.
      1
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Lets coding agents index and search local PDF books, retrieve relevant passages with citations, and persist design lessons for system design and implementation tasks.
      1
      Apache 2.0
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides semantic search and management of shared documentation using ChromaDB and OpenAI embeddings. It enables users to query local documents by meaning, list files, and read content through natural language tools.
      -

    TDQS

    A4.1/5.0

    Scored across 2 tools

    Disambiguation5/5

    search_manual and get_sources have clearly distinct purposes: one retrieves content from manuals, the other lists available sources and their structure. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    Both tools follow a consistent snake_case verb_noun pattern (search_manual, get_sources). The naming is predictable and readable.

    Tool Count3/5

    Only 2 tools are provided, which is on the thin side for a RAG server. While both are essential and well-scoped, the count is borderline minimal.

    Completeness4/5

    The core workflow of listing sources and searching across or within manuals is covered. However, there is no direct way to retrieve full documents or specific pages beyond search excerpts, which is a minor gap.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues