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"Using AI tools to auto-fill PDF documents with an MCP solution" matching MCP servers:

  • MCP PDF to PGVector

    sanskritiparmendranaval
    F
    license
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    quality
    C
    maintenance
    MCP server that ingests PDF documents into pgvector for semantic search and RAG pipelines. It handles extraction, chunking, local embeddings, and storage, enabling agents to make PDFs searchable via natural language.

  • TurboQuant Tools

    FreezeVII
    A
    license
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    quality
    A
    maintenance
    MCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.
    MIT

  • MCP RAG with ChromaDB

    CyprianFusi
    A
    license
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    quality
    D
    maintenance
    Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.
    1
    MIT

  • Apple Tools MCP

    sfls1397
    A
    license
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    quality
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    maintenance
    Enables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.

  • mcp-ai-workspace

    nickbiird
    A
    license
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    quality
    C
    maintenance
    Exposes document retrieval as an MCP tool, enabling LLMs to search a local vector store of markdown documents. Includes a retrieval evaluation harness to measure hit rate and MRR.
    MIT

  • PDF MCP Server

    rhuanca
    F
    license
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    quality
    D
    maintenance
    Enables AI-powered querying of PDF documents using hybrid retrieval (BM25 + vector search) and retrieval-augmented generation, returning structured answers with source citations and confidence scores.
  • @vectros-ai/mcp-server by vectros-ai

    @vectros-ai/mcp-serverofficial

    vectros-ai
    A
    license
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    quality
    A
    maintenance
    MCP server for Vectros, a typed multi-tenant record store with hybrid search and citation-grounded RAG, enabling agents to query, search, and ask questions over their own indexed data.
    345
    1
    Apache 2.0

  • MCP AI Memory

    scanadi
    A
    license
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    quality
    C
    maintenance
    Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.
    38
    48
    MIT

  • Azure AI Agent Service + Azure

    0lovesakura0
    F
    license
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    quality
    D
    maintenance
    Enables Claude Desktop to search private documents using Azure AI Search and perform web searches with Bing, providing AI-enhanced results with source citations through Azure AI Agent Service or direct Azure AI Search integration.

  • Tiny Chat

    to-aoki
    A
    license
    D
    quality
    C
    maintenance
    A lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.
    1
    2
    MIT