Weaviate MCP Server

Databasestdiov0.3.0

MCP server for the Weaviate open-source vector database. Enables AI agents to store objects, run semantic and hybrid searches, and manage collections, making it a memory and retrieval backend for RAG applications directly from AI-powered tools.

weaviate vector-database embeddings semantic-search rag

Connect

Add this configuration to .claude/mcp.json

{
  "mcpServers": {
    "weaviate": {
      "command": "uvx",
      "args": [
        "mcp-server-weaviate"
      ],
      "env": {
        "WEAVIATE_URL": "<YOUR_WEAVIATE_URL>",
        "WEAVIATE_API_KEY": "<YOUR_WEAVIATE_API_KEY>"
      }
    }
  }
}

Tools (2)

weaviate_insert

Insert an object into a Weaviate collection, embedding its text automatically.

{
  "type": "object",
  "required": [
    "collection",
    "properties"
  ],
  "properties": {
    "collection": {
      "type": "string",
      "description": "Name of the target collection"
    },
    "properties": {
      "type": "object",
      "description": "Object properties to store"
    }
  }
}

weaviate_search

Run a semantic or hybrid search over a Weaviate collection.

{
  "type": "object",
  "required": [
    "collection",
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "description": "Maximum number of results"
    },
    "query": {
      "type": "string",
      "description": "Natural language query"
    },
    "collection": {
      "type": "string",
      "description": "Collection to search"
    }
  }
}

Resources

This server does not expose any resources.

Prompts

This server does not expose any prompts.

Server Information

Author: Weaviate (@weaviate)
Repository: https://github.com/weaviate/mcp-server-weaviate
License: BSD-3-Clause
Version: 0.3.0
Stars: 412
Last Updated: July 9, 2026