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The AI Landing Zone is a secure, resilient and scalable reference architecture and reference implementation in the form of bicep, terraform and portal
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
workshop materials to build intelligent solutions on Open AI
This repository contains all the material and resources associated with the technical session "Mastering Open Mirroring in Microsoft Fabric".
Client Application with bridge from Forza Motorsports to Azure Event Hubs and Fabric Event Streams
Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration
🪄 Create rich visualizations with AI
Azure IoT Data Processor automation, quickstart, and jumpstart
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Code and model to control the AH!
Build autonomous, resilient and observable AI agents with built-in workflow orchestration, security, statefulness and telemetry.
A Model Context Protocol (MCP) server that enables AI assistants to securely access and analyze Microsoft Fabric Analytics data through authenticated API calls.
Sample project demonstrating the Unreal Engine plug-in for Azure Digital Twins
A comprehensive Model Context Protocol (MCP) server implementing the latest specification.
Main reference implementation for NLWeb, implemented in Python.
The Azure MCP Server, bringing the power of Azure to your agents.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
Publicly available SVG icons for Microsoft Fabric from the '@fabric-msft/svg-icons' NPM package
Fabric toolbox is a repository of tools, accelerators, scripts, and samples to accelerate your success with Microsoft Fabric, brought to you by Fabric CAT.