Utilizes OpenAI API for functionality, likely for embedding generation to support vector search operations with the Weaviate database.
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., "@Weaviate MCP Server search 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.
MCP server for Weaviate
Ensure you have uv installed (see
the docs for
details)
Clone this repository
To install Weaviate MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @weaviate/mcp-server-weaviate --client claudeOn MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
{
"mcpServers": {
"mcp-server-weaviate": {
"command": "PYTHON_PATH",
"args": [
"-m",
"src.server",
"--weaviate-url",
"YOUR_WEAVIATE_URL",
"--weaviate-api-key",
"YOUR_WEAVIATE_API_KEY",
"--search-collection-name",
"YOUR_SEARCH_COLLECTION",
"--store-collection-name",
"YOUR_STORE_COLLECTION",
"--openai-api-key",
"YOUR_OPENAI_API_KEY"
],
"env": {
"PYTHONPATH": "PATH_TO_MCP_SERVER_WEAVIATE_DIRECTORY"
}
}
}
}
This server cannot be deployed
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