Cognee
AI-friendly database and knowledge-management capabilities via various database schemes.
This MCP server, developed by topoteretes, provides a boilerplate framework for building AI assistants with integrated database and API capabilities. It leverages uv for dependency management and offers configurable connections to graph databases like Neo4j, vector databases like LanceDB, and relational databases. The server stands out by combining multiple database paradigms and offering easy integration with Claude AI. By connecting AI capabilities with diverse data sources, this implementation enables the creation of knowledge-aware AI systems that can reason over structured and unstructured data. It is particularly useful for building complex AI assistants that require access to heterogeneous data stores, such as enterprise knowledge bases, research tools, or data analysis platforms.
Source
Repository: https://github.com/topoteretes/cognee/tree/HEAD/cognee-mcp
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