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    A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.
    Last updated
    MIT
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    Personal digital memory: a desktop app that indexes your mail, chats, and documents into a local SQLite corpus on your machine — parsing and OCR run on-device via llama.cpp — and serves them to any MCP client. Local server on 127.0.0.1, plus an optional per-user remote endpoint (you.localkiagent.com) whose TLS terminates on your own device.
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    MIT
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    Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.
    Last updated
    MIT
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    Enables natural language management of Hammerspace storage clusters with automated file ingestion, tagging, tier management, and vector embedding generation. Supports real-time file monitoring, multi-format document processing, and Kubernetes-based ingestion workflows with Milvus integration.
    Last updated
    MIT
  • F
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    MCP server for querying survey feedback and statistics regarding the 'Thudong' field exam after the event at Wat Pa Roi Pi Luang Pu Viriyang, Ratchaburi, December 12-15, 2568 (2025). Enables searching impressions, suggestions, and satisfaction statistics across participant groups.
    Last updated