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Malloy MCP Server

@namabile

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

namabile

Malloy MCP Server について

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

#malloy#mcp#server

Malloy MCP Server の設定

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"
      ]
    }
  }
}

Malloy MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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

よくある質問

1

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]"`.

2

How do I configure the Malloy Publisher URL?

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

3

What dependencies does the server use?

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

4

How does error handling work?

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

5

Can I run tests?

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

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