MCP Server Weaviate
OfficialProvides integration with OpenAI's API, likely for embeddings or other AI capabilities when working with Weaviate
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Server Weaviatesearch for documents about machine learning"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Weaviate MCP server
This standalone server is deprecated. The Weaviate Model Context Protocol (MCP) server is now built into Weaviate itself — there is nothing to install or run separately.
Use the built-in MCP server
Weaviate ships an MCP server inside the main weaviate/weaviate binary, available as a preview from v1.37.1 onward. Enable it with a single environment variable:
MCP_SERVER_ENABLED=trueIt listens on the same port as the Weaviate REST API at /v1/mcp, authenticates via the existing API-key flow, and respects RBAC.
Tools exposed
Tool | Purpose |
| Inspect collection schemas |
| List tenants in a multi-tenant collection |
| Hybrid (vector + keyword) search |
| Create or update objects |
Documentation
Setup, environment variables, RBAC permissions, and per-tool reference: docs.weaviate.io/weaviate/configuration/mcp-server
The MCP standard: modelcontextprotocol.io
Weaviate repo (issues, feature requests): github.com/weaviate/weaviate
Related MCP server: Mcp-ZepAi Server
About this repository
Earlier versions of this repo contained a standalone Go implementation of an MCP server that wrapped the Weaviate REST API. That implementation has been superseded by the built-in server and is no longer maintained. The history is preserved in git for reference; for the previous source, see the commits before this notice.
This server cannot be deployed
Maintenance
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