Enables AI agents to interact with Microsoft Fabric Real-Time Intelligence services, allowing for seamless data querying, analysis, and streaming capabilities.
Exposes Microsoft Fabric operations as MCP tools, with 105 tools across 17 domains including lakehouses, warehouses, notebooks, pipelines, and real-time analytics, handling long-running operations and supporting multiple authentication modes.
Provides full execution and management capabilities for Microsoft Fabric Data Engineering workloads, including notebooks, pipelines, Lakehouses, and Spark jobs. It enables users to trigger runs, monitor status, manage workspace items, and configure job schedules through natural language.
Enables LLMs to query and explore schemas in Microsoft Fabric lakehouses, warehouses, and SQL databases using natural language, with tools for executing read-only SQL queries and searching tables, columns, and query patterns.
Enables AI assistants to interact with Microsoft Fabric and Power BI services through the Model Context Protocol. Users can manage workspaces, execute DAX queries, refresh datasets, and create Fabric notebooks using natural language.
Exposes Databricks REST API as MCP tools for managing clusters, jobs, notebooks, SQL queries, Unity Catalog, and more. Enables AI agents to interact with Databricks workspaces through natural language.