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"Exploring RAG through defined workspaces" matching MCP servers:

  • defined-mcp

    quickvm
    A
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    quality
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    maintenance
    MCP server for managing Defined Networking infrastructure through API tools. It enables network administration including host management, firewall rules, tags, and network configuration with Claude Code integration for interactive network design and auditing.
    Last updated
    4
    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.
    Last updated
    7
    MIT

  • MCP RAG

    kalicyh
    F
    license
    A
    quality
    B
    maintenance
    Intelligent knowledge base system that enables users to process documents in 25+ formats, perform semantic search and Q\&A through vector retrieval. Supports multiple AI models including OpenAI and DouBao with local processing capabilities.
    Last updated
    10
    5

  • MCP RAG Server

    LuizDoPc
    A
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    quality
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    Provides local Retrieval-Augmented Generation (RAG) capabilities using Ollama for embeddings and ChromaDB for vector storage. It enables users to ingest and perform semantic searches across PDF, Markdown, and TXT documents within MCP-compatible clients.
    Last updated
    4
    17
    1
    MIT

  • MCP RAG

    santis84
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    quality
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    maintenance
    A complete MCP server for Retrieval-Augmented Generation with file management and vector memory for agents. Supports multiple document formats (PDF, DOCX, TXT, MD, CSV, JSON) with semantic search using Hugging Face embeddings and ChromaDB for efficient vector storage.
    Last updated
    11
    10
    1
    MIT

  • RAG MCP Server

    ali-48
    F
    license
    C
    quality
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    maintenance
    Combines a knowledge graph with RAG (Retrieval-Augmented Generation) capabilities for semantic code indexing and search. Enables creating entity relationships, managing observations, and performing semantic searches across indexed codebases.
    Last updated
    13

  • OmniDocs RAG

    ElvinBayramov
    A
    license
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    quality
    B
    maintenance
    Enables AI agents to index and search local files, websites, GitHub repos, and packages using hybrid retrieval with reranking, all through IDE chat.
    Last updated
    2
    Apache 2.0

  • RAG-MCP Server

    plaban1981
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    quality
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    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.
    Last updated
    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).
    Last updated
    17
    34
    MIT

  • MCP-RAG

    AnuragB7
    A
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    quality
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    maintenance
    An MCP-compatible system that handles large files (up to 200MB) with intelligent chunking and multi-format document support for advanced retrieval-augmented generation.
    Last updated
    9
    MIT

  • rag-mcp

    mrankitvish
    A
    license
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    quality
    B
    maintenance
    An MCP knowledge server that enables saving and retrieving memory across sessions, with tools to ingest text, URLs, YouTube, and files, and perform semantic search.
    Last updated
    1
    MIT

  • RAG MCP Server

    sglwsjxh
    A
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    quality
    A
    maintenance
    A RAG knowledge base MCP server that adds vector search and reranking capabilities to opencode, supporting multimodal embeddings, multiple knowledge bases, and local storage.
    Last updated
    MIT

  • concept-rag

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

  • MCP-RAG

    seanshin0214
    A
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    quality
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    maintenance
    Turns Claude Desktop into a personal document question-answering system using local vector search. Index PDF, TXT, and Markdown documents into collections and get answers based strictly on your documents with zero hallucination.
    Last updated
    10

  • Markdown RAG

    ashrobertsdragon
    A
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    quality
    D
    maintenance
    A Retrieval Augmented Generation system that enables AI assistants to perform semantic searches and manage document indices for markdown files. It supports PostgreSQL with pgvector and integrates both Google Gemini and Ollama for intelligent embedding generation.
    Last updated
    1
    MIT