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"A tool for overviewing, summarizing, and editing local documents" matching MCP servers:

  • Perplexity Tool for Claude

    letsbuildagent
    A
    license
    C
    quality
    F
    maintenance
    A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.
    1
    6
    MIT

  • local-Rag

    zongzi-zongzhi
    A
    license
    A
    quality
    C
    maintenance
    A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.
    7
    MIT

  • mcp-local-rag

    xiuxiansk
    A
    license
    A
    quality
    C
    maintenance
    MCP server that enables local hybrid semantic and keyword search over private PDF, DOCX, Markdown, and text documents without sending data to embedding APIs.
    9
    3,271
    MIT

  • Local RAG

    shinpr
    A
    license
    A
    quality
    A
    maintenance
    Privacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.
    9
    3,271
    365
    MIT

  • graph-tool-call

    SonAIengine
    A
    license
    A
    quality
    A
    maintenance
    Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.
    6
    16
    MIT

  • mcp-local-rag

    damoqiongqiu
    A
    license
    A
    quality
    A
    maintenance
    A fully local RAG MCP server for semantic code search and code intelligence, using AST-level chunking and hybrid search to pinpoint functions, classes, and APIs. No cloud, no API keys, zero setup.
    16
    153
    13
    MIT

  • pageindex-local-mcp

    jamesbubenik
    F
    license
    B
    quality
    D
    maintenance
    A local-first MCP server for PageIndex — the vectorless, reasoning-based RAG framework. It lets local AI agents index and query local PDF and Markdown documents through a self-hosted PageIndex installation, without requiring any PageIndex cloud API key.
    8
    2

  • local-recall-mcp

    Chikoku-NEKO
    A
    license
    -
    quality
    A
    maintenance
    Provides fully local long-term memory for AI agents by enabling semantic search over notes and session logs using Ollama embeddings, with no external APIs or databases.
    MIT

  • local-docs-mcp

    nguyenchiencong
    A
    license
    -
    quality
    D
    maintenance
    Enables AI assistants to perform semantic, hybrid, and filtered search on indexed local documentation with RAG capabilities.
    2
    MIT

  • local-rag-core

    linkwut-create
    A
    license
    -
    quality
    A
    maintenance
    A headless local knowledge library and RAG substrate that enables LLM clients to search, retrieve chunks, and list documentation packs through read-only MCP tools.
    MIT

  • MemoryAI Local

    cenkierpiotr
    A
    license
    -
    quality
    C
    maintenance
    Provides persistent long-term memory and local RAG document search for Claude Desktop, fully offline. Enables memory save/search and document retrieval via MCP.
    MIT

  • local-graphrag-mcp

    nonatofabio
    A
    license
    -
    quality
    D
    maintenance
    A Model Context Protocol server implementing Graph RAG with local, embedded Knowledge Graph using FAISS for vector search and NetworkX for graph traversal, enabling hybrid retrieval through anchor discovery and relationship expansion.
    2
    MIT

  • Local Realtime Search

    MirLunaDEV
    A
    license
    -
    quality
    A
    maintenance
    Local-first realtime web research MCP for LM Studio with keyless SearXNG, clickable citations, adaptive deep research, provider health, and one-click Windows startup.
    MIT