Dagster Mcp
@fabdendev
About 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).
Basic information
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"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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