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"Exploring RAG through defined workspaces" matching MCP servers:

  • knowledge-rag

    lyonzin
    A
    license
    A
    quality
    A
    maintenance
    Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.
    13
    252
    MIT

  • MCP RAG

    fastmcp-me
    F
    license
    B
    quality
    D
    maintenance
    A RAG-based knowledge base system supporting document processing, semantic search, and intelligent Q\&A with multiple AI model integrations.
    1

  • concept-rag

    m2ux
    A
    license
    -
    quality
    B
    maintenance
    Enables LLMs to perform conceptual search over local PDF/EPUB documents using a RAG pipeline with corpus-driven concept extraction and WordNet enrichment.
    3
    MIT

  • rag-server

    andreeagheorghe
    F
    license
    -
    quality
    B
    maintenance
    Local MCP server that provides a search_documents tool to query a RAG pipeline built with Ollama embeddings and ChromaDB, enabling Claude Desktop to retrieve relevant document chunks.

  • rag-mcp

    TyrelCB
    F
    license
    -
    quality
    B
    maintenance
    Hybrid RAG over Claude Code and Hermes session history via MCP tools for search, ingest, and context injection.

  • rag-mcp

    Jemplayer82
    F
    license
    -
    quality
    C
    maintenance
    MCP server for Fathom Works RAG that exposes a self-hosted knowledge base as tools for any MCP-capable LLM to query documents, manage libraries, and ingest files or URLs.

  • rag-mcp

    sakshipr14
    F
    license
    -
    quality
    C
    maintenance
    MCP bridge to a multimodal RAG service, enabling hybrid search and Q&A over documents with tools for knowledge base queries and health checks.

  • ranger-rag-mcp

    WarinChi
    A
    license
    A
    quality
    C
    maintenance
    MCP server that integrates Apache Ranger authorization with RAG, enforcing Ranger policies to control access to knowledge bases before forwarding queries to RAG Studio.
    4
    Apache 2.0

  • rag-mcp

    Kamalesh-Kavin
    F
    license
    A
    quality
    D
    maintenance
    Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.
    4
  • dryad-rag-mcp by DryadAI

    dryad-rag-mcpofficial

    DryadAI
    A
    license
    A
    quality
    C
    maintenance
    Exposes a RAG document-search API as MCP tools (rag_health, rag_ingest, rag_query), enabling agents to index and search markdown documents with cited results through natural language.
    3
    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

  • 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

  • OnMind-RAG

    kaesar
    A
    license
    A
    quality
    C
    maintenance
    A lightweight knowledge base MCP server that enables full-text search and retrieval of markdown documents from indexed sites using Orama BM25.
    7
    Apache 2.0

  • mcp-rag

    elhassane1230
    A
    license
    A
    quality
    C
    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

  • rag-mcp

    NextLevelManagementAdvisors
    A
    license
    A
    quality
    B
    maintenance
    Enables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.
    4
    AGPL 3.0