MCP Server Weaviate
OfficialProvides integration with OpenAI's API, likely for embeddings or other AI capabilities when working with Weaviate
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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 That implementation has been superseded by the built-in server and is no longer maintained.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.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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This server cannot be deployed
Maintenance
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