Dagster

Cloud-native data orchestrator with software-defined assets and built-in observability.

MCPCLI

About Dagster

Cloud-native data orchestrator with software-defined assets and built-in observability. Explore how Dagster integrates with the agentic data stack ecosystem and supports autonomous data operations.

Key Features

  • Asset-centric orchestration — define pipelines as a graph of data assets rather than tasks
  • Integrated data catalog with auto-generated documentation and lineage tracking
  • Built-in scheduling, sensors, and event-driven triggering for pipeline automation
  • First-class dbt, Spark, and Databricks integrations for transformation orchestration
  • Type-checked, testable pipelines with local development and unit testing support
  • Monitoring and alerting with Slack integration and AI-powered debugging
  • Partitioned assets and backfill support for incremental and historical data processing
  • Dagster+ (Cloud) with SSO, RBAC, SOC 2 Type II compliance, and serverless deployment

Agent Integration

CLI — dagster / dg

$ pip install dagster dagster-webserver
CLI Documentation

External Links

Dagster MCP Server Blog Post

Official announcement and deep-dive on Dagster MCP server capabilities and setup

API Reference

Complete API reference covering CLIs, core SDK, REST APIs, and GraphQL API

GraphQL API

GraphQL API for programmatic interaction: trigger runs, query assets, manage schedules

dg CLI Reference

Official CLI reference for the dg command including MCP server configuration

AI & ML Solutions

Dagster's AI/ML pipeline orchestration covering agent-friendly patterns and automation

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