{"repo":"jesse-merhi/rag-anything-mcp","free":true,"listed":false,"github":"https://github.com/jesse-merhi/rag-anything-mcp","clone":"git clone https://github.com/jesse-merhi/rag-anything-mcp.git","description":"An MCP server for rag-anything (A multi-modal RAG system)","language":"Python","stars":35,"topics":[],"license":"MIT","category":"mcp-servers","readme_excerpt":"RAG Anything MCP Server An MCP (Model Context Protocol) server that provides comprehensive RAG (Retrieval-Augmented Generation) capabilities for processing and querying directories of documents using the raganything library with full multimodal support. Features - End-to-End Document Processing : Complete document parsing with multimodal content extraction - Multimodal RAG : Support for images, tables, equations, and text processing - Batch Processing : Process entire directories with multiple file types - Advanced Querying : Both pure text and multimodal-enhanced queries - Multiple Query Modes : hybrid, local, global, naive, mix, and bypass modes - Vision Processing : Advanced image analysis using GPT-4V - Persistent Storage : RAG instances maintained per directory for efficient querying Available Tools process directory Process all files in a directory for comprehensive RAG indexing with multimodal support. Required Parameters: - directory path : Path to the directory containing files to process - api key : OpenAI API key for LLM and embedding functions Optional Parameters: - working dir : Custom working directory for RAG storage - base url : OpenAI API base URL (for custom endpoints) - file extensions : List of file extensions to process (default: ['.pdf', '.docx', '.pptx', '.txt', '.md']) - recursive : Process subdirectories (default: True) - enable image processing : Enable image analysis (default: True) - enable table processing : Enable table extraction (default: True)","default_branch":null,"files":null,"tree":[],"storefront":"/r/jesse-merhi","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/jesse-merhi/rag-anything-mcp/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."}