Dagster Mcp

Name: Dagster Mcp
Author: fabdendev

@fabdendev

Dagster Mcp について

Monitor and operate Dagster instances with AI agents. 19 tools for runs, assets, jobs, schedules, sensors, and instance health. Supports multi-environment, cross-version compatibility, and write operations (launch, terminate, reload).

#dagster #data-pipelines #dataops #graphql #orchestration #mcp

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

fabdendev

投稿者

Fabio De Nigris

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": {
    "dagster": {
      "command": "uvx",
      "args": [
        "dagster-mcp"
      ],
      "env": {
        "DAGSTER_URL": "http://localhost:3000"
      }
    }
  }
}

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 Dagster Mcp?

An MCP server that wraps the Dagster GraphQL API, giving AI agents full visibility and control over running Dagster instances — like an SRE for your data pipelines.

How to use Dagster Mcp?

Install the package from PyPI and add it to your MCP client configuration using the uvx command. Set the DAGSTER_URL environment variable to point to your Dagster instance (e.g., http://localhost:3000).

Key features of Dagster Mcp

19 tools across runs, assets,

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