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Dagster MCP Server

@fabdendev

代码仓库

基本信息

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其他

传输方式

stdio

作者

fabdendev

提交者

Fabio De Nigris

关于 Dagster MCP Server

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

Dagster MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Dagster MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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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