Dagster Integrations

🏢Official
by dagster-io · vlatest · Repository

Dagster Integrations seamlessly connects your Dagster pipelines to external systems like databases and cloud services for streamlined data workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add dagster-integrations npx -- -y @trustedskills/dagster-integrations
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "dagster-integrations": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/dagster-integrations"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The dagster-integrations skill provides integrations with Dagster, a data orchestrator. It allows AI agents to interact with and leverage Dagster's capabilities for defining and executing data pipelines. This includes triggering pipeline runs, checking their status, and retrieving results from those pipelines.

When to use it

  • Automated Data Processing: Triggering a Dagster pipeline based on an external event or condition detected by the AI agent.
  • Data Validation & Testing: Running data quality checks defined as Dagster tests within a pipeline.
  • Pipeline Monitoring: Checking the status of running Dagster pipelines and reporting on their progress.
  • Retrieving Data Results: Accessing outputs from completed Dagster pipelines for further AI processing or analysis.

Key capabilities

  • Triggering Dagster pipeline runs
  • Checking the status of Dagster pipelines
  • Retrieving results from Dagster pipelines
  • Integration with Dagster's data orchestrator framework

Example prompts

  • "Run the 'data_refresh' pipeline in Dagster."
  • "What is the current status of the 'model_training' pipeline?"
  • "Get the latest processed data from the 'feature_engineering' pipeline."

Tips & gotchas

  • Requires a working Dagster instance and appropriate credentials for the AI agent to access it.
  • The specific pipelines and resources available will depend on your Dagster configuration.

Tags

🛡️

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Details

Version
vlatest
License
Author
dagster-io
Installs
0

🏢 Official

Published by the company or team that built the technology.