$ loading_
Connect Fabric AI with MCP apps to use patterns and models in IDEs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Fabric MCP Server" yet — see the docs or source repo.
Using Fabric MCP Server in my current IDE, apply a Fabric pattern suitable for code refactoring and provide refactoring suggestions plus revised code for my selected Python file.
Returns the relevant Fabric pattern, refactoring rationale, and ready-to-use revised code.
Use Fabric MCP Server to connect to an available model, summarize this technical document, and extract key risks, action items, and next-step recommendations.
Outputs a summary, risk list, action items, and recommended next steps for further work in an MCP client.
Through Fabric MCP Server, connect a Fabric workflow for code review to the current MCP app and generate review comments, potential defects, and optimization suggestions for this Git diff.
Provides structured code review results, including issue descriptions, risk levels, and optimization suggestions.
Connect to Microsoft Fabric for data work, integrations, and automation.
Manage Microsoft Fabric reports with lifecycle controls, filtering, and content operations.
Use Fabric AI patterns for analysis, summarization, coding, learning, and security.
Build MCP servers quickly to expose app data and actions to AI clients.
Connect to the mcp API via MCP to extend AI tool capabilities.
Query Fabric Lakehouse data and manage Eventstreams with natural language.