Dagster MCP
Manage Dagster pipelines with AI via MCP. Monitor assets, track materializations, debug ops, and orchestrate data workflows.
What is Dagster MCP?
Dagster MCP integrates Dagster's asset-centric orchestration platform with AI through MCP. Dagster's unique software-defined assets approach makes data pipelines declarative, testable, and observable.
Asset-Centric Intelligence
AI models can query asset health, track materializations, analyze lineage graphs, and help identify stale or failing assets. The asset-centric model makes it natural to ask "Is my data fresh?" through MCP.
Configuration
{
"mcpServers": {
"dagster": {
"command": "npx",
"args": ["dagster-mcp"],
"env": {
"DAGSTER_API_URL": "http://localhost:3000/graphql"
}
}
}
}
Use Cases
Dagster MCP serves data teams building asset-centric pipelines, organizations needing data freshness monitoring, and teams wanting AI-powered data lineage analysis and pipeline debugging.
Key Features
- Monitor software-defined assets
- Track asset materializations and lineage
- Debug op execution and partitions
- Manage schedules and sensors
- Query asset metadata and health
- Configure resources and IO managers
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