{"repo":"olafgeibig/knowledge-mcp","free":true,"listed":false,"github":"https://github.com/olafgeibig/knowledge-mcp","clone":"git clone https://github.com/olafgeibig/knowledge-mcp.git","description":"A MCP server that is a locally running knowledge base with a hybrid vector and graph RAG engine using LightRAG","language":"Python","stars":59,"topics":[],"license":"MIT","category":"mcp-servers","readme_excerpt":"knowledge-mcp: Specialized Knowledge Bases for AI Agents 1. Overview and Concept knowledge-mcp is a MCP server designed to bridge the gap between specialized knowledge domains and AI assistants. It allows users to create, manage, and query dedicated knowledge bases, making this information accessible to AI agents through an MCP (Model Context Protocol) server interface. The core idea is to empower AI assistants that are MCP clients (like Claude Desktop or IDEs like Windsurf) to proactively consult these specialized knowledge bases during their reasoning process (Chain of Thought), rather than relying solely on general semantic search against user prompts or broad web searches. This enables more accurate, context-aware responses when dealing with specific domains. Key components: CLI Tool: Provides a user-friendly command-line interface for managing knowledge bases (creating, deleting, adding/removing documents, configuring, searching). Knowledge Base Engine: Leverages LightRAG to handle document processing, embedding, knowledge graph creation, and complex querying. MCP Server: Exposes the search functionality of the knowledge bases via the FastMCP protocol, allowing compatible AI agents to query them directly. 2. About LightRAG This project utilizes LightRAG (HKUDS/LightRAG) as its core engine for knowledge base creation and querying. LightRAG is a powerful framework designed to enhance Large Language Models (LLMs) by integrating Retrieval-Augmented Generation (RAG) with know","default_branch":null,"files":null,"tree":[],"storefront":"/r/olafgeibig","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/olafgeibig/knowledge-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."}