- STATUS
- DEPENDENCIES
- AUDIT
- HUMAN
Short answer
How can I check if my Dagster assets are up to date?
Your AI uses the Dagster MCP to pull the current state of your software-defined assets. You can ask about specific asset statuses or check if downstream dependencies are healthy. This gives you a direct line into your data pipeline health without opening the Dagster UI.
The outcomes.
Where your insights land.
The AI acts as a bridge between your natural language questions and your Dagster instance.
STATUS
Check asset health
The AI uses list_assets to find which software-defined assets are currently stale. You get a clear list of what needs attention.
DEPENDENCIES
Trace broken links
Ask how a specific failure affects downstream data. The AI maps out the impact on your dependency graph.
AUDIT
Verify data freshness
Query the last successful run of any asset. You'll know exactly how old your data is at any moment.
HUMAN
Manual intervention
The AI identifies the problem, but you still decide when to trigger a manual re-run or fix the underlying code.
The workflow
What your AI does when the request arrives.
The AI translates your question into a specific request to your Dagster instance.
Identify assets
The AI looks up your existing software-defined assets to understand what is available to query.
list_assetsAnalyze freshness
It compares the last successful execution time against your current time to find stale data.
list_assetsMap dependencies
The AI looks at how assets relate to one another to see if a failure is cascading.
list_assetsReport findings
The AI summarizes the health of your pipeline in plain English so you can act quickly.
list_assets
Try it
Copy these to start.
Use these prompts to begin interacting with your data pipelines.
Starting points
Replace the specific asset or job names with the ones used in your Dagster instance.
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"
}
}
}Which assets in my Dagster instance are currently stale?
Show me the status of the 'user_activity_logs' asset.
Are there any downstream dependencies affected by the recent failure in the 'raw_events' job?
List all assets that haven't been updated in the last 24 hours.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Dagster once, then ask.
One connection gives your AI access to your asset metadata. Your credentials stay encrypted and secure on our side.
Connect Dagster to your AIFAQ
How this task behaves.
- 01
Can the AI trigger a new materialization?
No. The AI can only read asset status and dependencies. You must trigger runs manually through Dagster or your own orchestration tools.
- 02
Can the AI change my Dagster configuration?
No. This connection is read-only for asset metadata. It cannot modify your code, schedules, or environment settings.
- 03
How does the AI know which assets are stale?
It uses the asset metadata to check the timestamp of the last successful materialization against the current time.
- 04
Does the AI see my actual data rows?
No. The AI only sees the metadata and status of the software-defined assets, not the contents of the data itself.
- 05
Can I use this with any AI client?
Yes, as long as the client supports the Model Context Protocol (MCP).
More questions about Dagster? See everything the Dagster Connector can do
Connect Dagster to Claude, Cursor, ChatGPT & more
