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  • code-rag-mcp

    qduc
    A
    license
    A
    quality
    D
    maintenance
    Enables semantic search over codebases using natural language queries, returning relevant code snippets with source locations. Integrates with Claude Code for automatic codebase exploration.
    1
    1
    MIT
  • FieldCure MCP RAG Server by fieldcure

    FieldCure MCP RAG Serverofficial

    fieldcure
    A
    license
    -
    quality
    B
    maintenance
    A Model Context Protocol server for indexing and searching local document collections with hybrid BM25+vector search, optimized for Korean and English, supporting DOCX, PDF, audio, and more.
    MIT

  • PDF RAG MCP Server

    abdellahiheiballa
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    license
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    quality
    D
    maintenance
    A Model Context Protocol (MCP) server that provides powerful RAG (Retrieval-Augmented Generation) capabilities for PDF documents. This server uses ChromaDB for vector storage, sentence-transformers for embeddings, and semantic chunking for intelligent text segmentation.
    MIT

  • PDF Inline Image RAG MCP

    Joncallim
    A
    license
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    quality
    C
    maintenance
    Builds searchable SQLite databases from PDFs, preserving inline image locations for AI agents to discover and caption visual content. Supports full-text search over text, image placeholders, and saved captions.
    1
    MIT

  • Vault RAG MCP

    rickquant
    A
    license
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    quality
    C
    maintenance
    A read-only MCP server that enables semantic search and retrieval over a local Markdown knowledge base with heading-aware chunking and multilingual embeddings.
    MIT

  • rag-mcp

    MasihMoafi
    A
    license
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    quality
    B
    maintenance
    A local hybrid-search MCP server that enables coding agents to query files and folders using natural language, returning relevant code chunks with exact source paths. Everything runs on-device with no API keys or network calls.
    4
    MIT

  • RAG-MCP Server

    plaban1981
    A
    license
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    quality
    D
    maintenance
    A server that integrates Retrieval-Augmented Generation (RAG) with the Model Control Protocol (MCP) to provide web search capabilities and document analysis for AI assistants.
    4
    Apache 2.0

  • mcp-rag-server

    kwanLeeFrmVi
    A
    license
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    quality
    D
    maintenance
    An MCP server that indexes documents and serves relevant context to LLMs via Retrieval Augmented Generation (RAG).
    115
    36
    MIT

  • obsidian-rag

    Amanaakash
    A
    license
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    quality
    B
    maintenance
    Enables semantic search and reading of Obsidian Markdown notes through read-only MCP tools, allowing Claude to retrieve relevant passages from a local vault.
    MIT

  • PDF RAG MCP Server

    MBaranekTech
    A
    license
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    quality
    D
    maintenance
    Enables RAG over messy PDFs — extract, chunk, embed, and search scanned, multi-column, and table-heavy documents.
    MIT

  • Apple RAG MCP

    BingoWon
    A
    license
    -
    quality
    B
    maintenance
    Provides access to Apple documentation and WWDC transcripts with semantic, keyword, and hybrid search capabilities, enabling developers to quickly find relevant code examples and technical information.
    115
    MIT

  • concept-rag

    m2ux
    A
    license
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    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

  • Modular RAG MCP Server

    lijunjie469
    A
    license
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    quality
    C
    maintenance
    A modular RAG service framework that exposes tools like query_knowledge_hub, list_collections, and get_document_summary via MCP protocol, enabling AI assistants to perform retrieval-augmented generation.
    MIT

  • Modular RAG MCP Server

    XBW-Leo
    A
    license
    -
    quality
    C
    maintenance
    A modular RAG framework exposing knowledge retrieval tools via MCP, enabling AI assistants to perform hybrid search, reranking, and multimodal document queries with full observability and evaluation.
    MIT