Cognee MCP Server

The Cognee MCP Server is a utility server that integrates the Cognee AI memory engine with AI assistants through the Model Context Protocol (MCP). This integration enables AI models to build and interact with dynamic memory structures, facilitating tasks such as knowledge graph construction and semantic search. Key features include: - Knowledge Graph Construction: Builds knowledge graphs from input text, allowing AI assistants to organize and retrieve information effectively. - Semantic Search: Performs searches within the constructed knowledge graphs, enhancing the AI's ability to find relevant information. - Flexible Data Ingestion: Supports ingestion from over 30 data sources, providing versatility in data integration. - Graph and Vector Store Integration: Manages AI memory using various graph and vector stores, offering scalable and modular Extract, Cognify, Load (ECL) pipelines. Designed for local operation, the server requires Python and the uv package manager for execution. It is actively maintained as an open-source project.