weaviate/mcp-server-weaviate

Overview

An MCP server that connects AI agents to Weaviate vector databases. It allows agents to query, search, and manage vector data through the Model Context Protocol.

Best for

Best for
Developers building AI agents that need to query or manage vector databases via Weaviate

Use cases

• Enabling AI agents to perform semantic search on Weaviate collections
• Allowing agents to create, read, update, and delete vector objects
• Integrating Weaviate as a knowledge base for agent workflows

How to use

Tools exposed

• weaviate-collections-get-config
• weaviate-tenants-list
• weaviate-query-hybrid
• weaviate-objects-upsert

Example client config

MCP_SERVER_ENABLED=true

Notes

An MCP server that connects AI agents to Weaviate vector databases. It allows agents to query, search, and manage vector data through the Model Context Protocol.

162 stars on GitHub. Last updated 2026-05-26.

Use cases

• Enabling AI agents to perform semantic search on Weaviate collections
• Allowing agents to create, read, update, and delete vector objects
• Integrating Weaviate as a knowledge base for agent workflows

Pros

• Direct integration with Weaviate’s vector search capabilities
• Open source with 162 stars and active maintenance
• Standard MCP interface simplifies agent connectivity

Cons

• Requires a running Weaviate instance to function
• Limited to Weaviate-specific features and schemas
• No built-in authentication or access control

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.