Use Dagster with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Orchestrate data pipelines via Dagster. monitor jobs, track runs, manage software-defined assets, and audit schedules directly from any AI agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 6 capabilities
The complete Dagster capability set.
These are the exact actions your AI can choose when you ask it to work with Dagster.
01-03
3 capabilities in this set.
Part of 6 available through Dagster.
- 01
List schedules
List all schedules from Dagster
- 02
List runs
List recent runs from Dagster
- 03
List sensors
List all sensors from Dagster
04-06
3 capabilities in this set.
Part of 6 available through Dagster.
- 04
Get run
Get run details from Dagster
- 05
List assets
List all assets from Dagster
- 06
List jobs
List all jobs from Dagster
Observed, not estimated
831ms average. Fast in production.
Dagster is checked daily against the live service.
- Fastest day
- 608ms
- Slowest day
- 986ms
- 14-day trend
- Slowing+39%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Dagster, so you can see the experience inside your AI.
It does not authenticate your account with Dagster. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Dagster Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_9Cla5bbOzNXXdswxQ5yhHdcbDLhh8oRbE80hiC24/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Dagster capabilities are ready to use.
{
"mcpServers": {
"dagster-mcp": {
"url": "https://edge.vinkius.com/vk_preview_9Cla5bbOzNXXdswxQ5yhHdcbDLhh8oRbE80hiC24/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Dagster owners ask.
- 01
Can my agent list all software-defined assets in Dagster?
Yes. Use the 'list_assets' capability. Your agent will retrieve all software-defined assets, allowing you to identify data dependencies and verify physical storage mappings within your pipelines.
- 02
How do I check the status of a specific job run?
Provide the 'run_id' to the 'get_run' capability. Your agent will fetch detailed information for that specific execution, including status (Success, Failure, In Progress) and detailed execution logs.
- 03
Can I see active sensors and schedules via the agent?
Absolutely. Use the 'list_schedules' and 'list_sensors' capabilities. Your agent will pull the active automation triggers, allowing you to audit which jobs are scheduled and which sensors are listening for external events.
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