📌Overview

Purpose: The MCP server for Weaviate is designed to enhance data handling and retrieval capabilities within Claude Desktop applications.

Overview: This framework provides a seamless integration of Weaviate, a vector search engine, with Claude Desktop. It simplifies the setup and management of search collections, enabling users to leverage AI capabilities for enhanced data interactions.

Key Features:

• Integration with Weaviate: Allows easy connection to Weaviate's APIs for managing and querying data collections, enabling efficient data storage and retrieval.

• Configuration Flexibility: Offers customizable configuration settings through a straightforward JSON format, allowing users to specify various parameters, including URLs and API keys as needed for their deployment.

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mcp-server-weaviate

MCP server for Weaviate

🏎️ Quickstart

Prerequisites

• Ensure you have uv installed (see the docs for details: https://docs.astral.sh/uv/getting-started/installation/)
• Clone this repository

Install

Installing via Smithery

To install Weaviate MCP Server for Claude Desktop automatically via Smithery (https://smithery.ai/server/@weaviate/mcp-server-weaviate):

npx -y @smithery/cli install @weaviate/mcp-server-weaviate --client claude

Claude Desktop Configuration

• On 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Development/Unpublished Servers Configuration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"
      }
    }
  }
}