Dagster MCP Server
@fabdendev
Basic information
About 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 MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"dagster": {
"command": "uvx",
"args": [
"dagster-mcp"
],
"env": {
"DAGSTER_URL": "http://localhost:3000"
}
}
}
}Dagster MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Overview
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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