Dagster Mcp

Created By

fabdendev4 months ago

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

Overview Content Tools Comments

Overview

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.

Features

19 tools across runs, assets, jobs, schedules/sensors, instance health, and write operations
Multi-environment support — monitor prod, staging, and dev from one server
Cross-version compatible — auto-detects Dagster schema via introspection
Read-only by default — write tools (launch, terminate, reload) are opt-in
Zero config — works with self-hosted and Dagster Cloud

Quick start

Install from PyPI and add to your MCP client:

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

Published on https://pypi.org/project/dagster-mcp/. MIT licensed.

Try in Playground

Server Config

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

Project Info

Created At

4 months ago

Updated At

4 months ago

Author Name

fabdendev

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