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Use MCP to manage Microsoft Fabric data and analytics operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Microsoft Fabric MCP Server" yet — see the docs or source repo.
Using the Microsoft Fabric MCP Server, list all data pipelines in the current workspace, identify runs that failed in the last 7 days, and provide actionable fixes and next steps.
A list of pipelines, a summary of failed runs, likely causes, and prioritized remediation steps.
Use the Microsoft Fabric MCP Server to inspect lakehouse and warehouse resources in a specified workspace, listing names, last updated times, status, and any anomalies.
A status overview table of resources, highlighting anomalous items that need manual attention.
Use the Microsoft Fabric MCP Server to start a notebook or pipeline job and continuously monitor its progress; if it fails, return the error details and retry suggestions.
The job start result, progress updates, final status, and diagnostics with recommendations if it fails.
Connect to Microsoft Fabric for data work, integrations, and automation.
Manage Microsoft Fabric reports with lifecycle controls, filtering, and content operations.
Query Fabric Lakehouse data and manage Eventstreams with natural language.
Use Fabric AI patterns for analysis, summarization, coding, learning, and security.
Connect Fabric AI with MCP apps to use patterns and models in IDEs.
Manage Databricks clusters, jobs, SQL, and catalogs through MCP tools.