Upload local Jupyter notebooks to Microsoft Fabric workspaces for data analysis and engineering workflows. Transfer .ipynb files with optional folder organization and descriptions.
Retrieve specific fabric details from Hyperfabric infrastructure management by providing a fabric ID, with options to include metadata and candidate configurations.
Identifies the optimal Fabric pattern tool for your task by analyzing input descriptions, simplifying tool selection within the Fabric MCP Server environment.
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.
A Python-based MCP server that enables interaction with Microsoft Fabric APIs for managing workspaces, lakehouses, warehouses, and tables through natural language.
The Fabric-Analytics-MCP server enables AI agents to interact directly with Microsoft Fabric using natural language. It transforms complex data engineering tasks—such as workspace management, data exploration, and job execution—into intuitive, conversational workflows for LLMs like Claude or GitHub