Enables AI agents to interact with Microsoft Fabric by exposing tools for managing workspaces, notebooks, SQL queries, pipelines, and Livy Spark sessions. It provides a comprehensive set of operations for data engineering and analytics tasks using standard Azure authentication.
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process.env. You'll be asked to provide them before it can run.FABRIC_API_CALL_TIMEOUT— 30 API timeout (seconds)FABRIC_MAX_RETRIES— 3 Max retry attemptsFABRIC_RETRY_BACKOFF— 2.0 Backoff factorLIVY_API_CALL_TIMEOUT— 120 Livy timeout (seconds)LIVY_POLL_INTERVAL— 2.0 Livy polling intervalLIVY_STATEMENT_WAIT_TIMEOUT— 10 Livy statement wait timeoutLIVY_SESSION_WAIT_TIMEOUT— 240 Livy session wait timeoutPOWERBI_API_CALL_TIMEOUT— Power BI tuning: POWERBI_BASE_URL, POWERBI_SCOPES, , POWERBI_REFRESH_POLL_INTERVAL, POWERBI_REFRESH_WAIT_TIMEOUTPOWERBI_REFRESH_POLL_INTERVAL— Power BI tuning: POWERBI_BASE_URL, POWERBI_SCOPES, POWERBI_API_CALL_TIMEOUT, , POWERBI_REFRESH_WAIT_TIMEOUTPOWERBI_REFRESH_WAIT_TIMEOUT— Power BI tuning: POWERBI_BASE_URL, POWERBI_SCOPES, POWERBI_API_CALL_TIMEOUT, POWERBI_REFRESH_POLL_INTERVAL,MCP_LOG_LEVEL— You can also set AZURE_LOG_LEVEL (Azure SDK) and (server) to control verbosity.MCP_SERVER_NAME— ms-fabric-mcp-server Server name for MCPFABRIC_ODBC_DRIVER— SQL tools require pyodbc and the Microsoft ODBC Driver for SQL Server (Driver 18 or 17 — the service auto-detects which is installed and prefers Driver 18; set to override):[](https://m8ven.ai/mcp/bablulawrence-ms-fabric-mcp-server-16mj47)