LanceDB

This LanceDB MCP server, developed by Ryan Lisse, provides a vector database interface for AI-assisted workflows. Built with Python and leveraging FastAPI, it enables efficient storage and similarity search of vector embeddings with associated metadata. The implementation supports key operations like creating tables, adding vectors, and performing nearest neighbor searches. It integrates seamlessly with Claude Desktop and other MCP clients, allowing natural language interactions with vector data. This server is particularly useful for developers and data scientists working on applications involving semantic search, recommendation systems, or any task requiring fast similarity lookups on high-dimensional data.