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Trigger and monitor Azure Data Factory workflows through natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "azure-adf-mcp" yet — see the docs or source repo.
Please trigger the pipeline named daily-etl in Azure Data Factory with the parameter date=2025-02-01.
Returns the pipeline trigger result, run ID, and whether submission succeeded.
Check the current status of the ADF pipeline run with ID 12345, and summarize possible causes if it failed.
Returns the run status, start and end times, and failed activity or error summary.
Summarize the overall health of this Azure Data Factory over the past 24 hours, including failed runs, success rate, and problematic datasets.
Outputs a factory health overview with key metrics, anomalies, and brief diagnostic recommendations.
Analyze Azure Data Factory costs, detect waste, and recommend optimizations.
Manage Azure infrastructure and cloud resources using natural language commands.
Query core Azure services through one interface for development and operations.
Search, inspect, trace, and read business data assets across internal platforms.
Connect AI to Azure DevOps to manage projects, repos, work items, and pipelines.
Connect AI to Azure DevOps to manage work items, repos, and pipelines.