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    • A
      license
      B
      quality
      D
      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.
      11
      12
      1
      MIT
    • A
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      Not graded
      quality
      D
      maintenance
      MCP server for document ingestion and semantic search on Qdrant. Enables ingesting local documents, generating embeddings with OpenAI, and performing vector search with metadata filters.
      Apache 2.0
    • F
      license
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      quality
      D
      maintenance
      An enterprise-ready MCP server that exposes a RAG tool for retrieving relevant context and metadata from a Qdrant vector database using natural language queries.
      2
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    • F
      license
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      quality
      Not graded
      maintenance
      A local MCP server for RAG memory, semantic search, and context optimization using Ollama and SQLite. It serves as a central hub that manages document embeddings, text compression, and proxies calls to other sub-MCP servers.
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