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Dagster MCP

Data Pipeline Free Open Source

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