MCP.so
ログイン

Malloy MCP Server

@namabile

Malloy MCP Server について

An MCP Server for interacting with Malloy data models through the Malloy Publisher

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

namabile

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "malloy-mcp-server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "malloy-mcp-server"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Malloy MCP Server?

An MCP server implementation for executing Malloy queries and managing Malloy resources. It integrates with the Malloy Publisher API and is intended for developers who need to run Malloy queries via the Model Context Protocol.

How to use Malloy MCP Server?

Install using uv pip install malloy-mcp-server or pip install malloy-mcp-server. Configure the MALLOY_PUBLISHER_ROOT_URL environment variable (default http://localhost:4000). Start the server with mcp.serve() or by running python -m malloy_mcp_server. Use the ExecuteMalloyQueryTool to run queries and access resource endpoints such as malloy://project/home/metadata.

Key features of Malloy MCP Server

  • Execute Malloy queries via MCP
  • Access Malloy project, package, and model metadata
  • Robust error handling with detailed context
  • Comprehensive test coverage
  • Type-safe implementation

Use cases of Malloy MCP Server

  • Execute ad‑hoc Malloy queries through MCP tools
  • Programmatically inspect project, package, or model metadata
  • Integrate Malloy querying into AI‑powered workflows
  • Debug queries with detailed error context

FAQ from Malloy MCP Server

How do I install Malloy MCP Server?

Install with uv pip install malloy-mcp-server or pip install malloy-mcp-server. For development, use uv pip install -e ".[dev]".

How do I configure the Malloy Publisher URL?

Set the MALLOY_PUBLISHER_ROOT_URL environment variable; it defaults to http://localhost:4000.

What dependencies does the server use?

The server is built on FastMCP, the Malloy Publisher Client, and Pydantic for data validation.

How does error handling work?

The server raises a QueryExecutionError with message and context attributes for detailed error context.

Can I run tests?

Yes, run pytest or pytest --cov=malloy_mcp_server for test coverage.

コメント

「その他」の他のコンテンツ