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Weaviate

Connect to Weaviate vector database for semantic search, knowledge base management, and RAG workflows with vector embeddings

weaviatevector-databaseembeddingsaisearchrag
By Weaviate
16143Updated 11 months agoGo

Installation

npm install -g @weaviate/mcp-server

Configuration

{
  "mcpServers": {
    "weaviate": {
      "command": "npx",
      "args": ["-y", "@weaviate/mcp-server"],
      "env": {
        "WEAVIATE_URL": "http://localhost:8080",
        "WEAVIATE_API_KEY": "your-weaviate-api-key"
      }
    }
  }
}

How to use

  1. Run the installation command above (if needed)
  2. Open your Claude Code settings file (~/.claude/settings.json)
  3. Add the configuration to the mcpServers section
  4. Restart Claude Code to apply changes

Weaviate MCP Server

Instructions

Build the server:

make build

Run the test client

make run-client

Tools

Insert One

Insert an object into weaviate.

Request body:

{}

Response body

{}

Query

Retrieve objects from weaviate with hybrid search.

Request body:

{}

Response body

{}
View source on GitHub