Weaviate is an open-source vector database designed for AI-native applications and semantic search. Store and query vector embeddings, perform similarity searches, integrate with ML models, build recommendation systems, and enable semantic search capabilities for AI-powered applications.
This Weaviate MCP server is compatible with any MCP client including Claude Desktop, Cursor, and other Model Context Protocol implementations.
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Weaviate search and browse
Weaviate data quality checks
Weaviate schema and collections
Domain knowledge for Weaviate vector database — collections, vectors, schema
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Free account · API Key setup
Having trouble configuring Weaviate? Check the available resources below.