{"repo":"hyson666/pdf-rag-mcp-server","free":true,"listed":false,"github":"https://github.com/hyson666/pdf-rag-mcp-server","clone":"git clone https://github.com/hyson666/pdf-rag-mcp-server.git","description":"PDF RAG server for cursor.","language":"Python","stars":42,"topics":["cursor","mcp","mcp-server","python","rag"],"license":null,"category":"mcp-servers","readme_excerpt":"PDF RAG MCP Server A powerful document knowledge base system that leverages PDF processing, vector storage, and MCP (Model Context Protocol) to provide semantic search capabilities for PDF documents. This system allows you to upload, process, and query PDF documents through a modern web interface or via the MCP protocol for integration with AI tools like Cursor. Features - PDF Document Upload & Processing : Upload PDFs and automatically extract, chunk, and vectorize content - Real-time Processing Status : WebSocket-based real-time status updates during document processing - Semantic Search : Vector-based semantic search across all processed documents - MCP Protocol Support : Integrate with AI tools like Cursor using the Model Context Protocol - Modern Web Interface : React/Chakra UI frontend for document management and querying - Fast Dependency Management : Uses uv for efficient Python dependency management System Architecture The system consists of: - FastAPI Backend : Handles API requests, PDF processing, and vector storage - React Frontend : Provides a user-friendly interface for managing documents - Vector Database : Stores embeddings for semantic search - WebSocket Server : Provides real-time updates on document processing - MCP Server : Exposes knowledge base to MCP-compatible clients Quick Start Prerequisites - Python 3.8 or later - uv - Fast Python package installer and resolver - Git - Cursor (optional, for MCP integration) Quick Installation and Startup with uv and","default_branch":null,"files":null,"tree":[],"storefront":"/r/hyson666","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hyson666/pdf-rag-mcp-server/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}