Dagster Mcp

Name: Dagster Mcp
Author: fabdendev

@fabdendev

关于 Dagster Mcp

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

基本信息

分类

其他

传输方式

stdio

发布者

fabdendev

提交者

Fabio De Nigris

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"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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).