Skip to main content
Glama
weaviate

MCP Server Weaviate

Official
by weaviate

mcp-server-weaviate

鍛冶屋のバッジ

Weaviate 用 MCP サーバー

🏎️ クイックスタート

前提条件

  • uvがインストールされていることを確認してください(詳細はドキュメントを参照してください)

  • このリポジトリをクローンする

インストール

Smithery経由でインストール

Smithery経由で Claude Desktop 用の Weaviate MCP Server を自動的にインストールするには:

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

クロードデスクトップ

MacOSの場合: ~/Library/Application\ Support/Claude/claude_desktop_config.json

Windows の場合: %APPDATA%/Claude/claude_desktop_config.json

開発/非公開サーバーの構成

{
  "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"
      }
    }
  }
}

デモ

Maintenance

ActivityInactive
ResponsivenessNo issues

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    A server that enables Claude AI to interact with Weaviate vector databases, supporting both search and storage operations through Anthropic's MCP protocol.
    2
    GPL 3.0
  • F
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that integrates the ZepAi module to provide long-term memory and retrieval capabilities for AI applications. It allows models to interact with Zep's services through a standardized interface using an API key.
    1
    -
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that enables RAG-powered AI chat integration for websites by crawling content, building local vector stores, and generating embeddable chat widgets. It simplifies the setup of local chat servers with support for various LLM and embedding providers.
    5
    8
    2
    MIT