A collection of official Microsoft MCP servers, providing AI assistant integration tools for various services such as Azure, GitHub, Microsoft 365, and Fabric. It supports local and remote deployment, helping developers connect AI models with various data sources and tools through a standardized protocol.

This project demonstrates how to integrate an AI agent powered by Azure OpenAI with the Microsoft Fabric data warehouse through the Model Context Protocol (MCP), using GraphQL as a common data connection layer to achieve bidirectional access to enterprise data.

A service that interacts with Microsoft To Do tasks through an AI assistant, requiring a Node.js environment and Azure application registration for authentication configuration.

The distributed MCP server provides an API toolset for legal information query, weather data, Azure pricing, and utility functions, supporting AI assistants such as Microsoft Copilot to call through the MCP protocol.

This project showcases multiple Model Context Protocol (MCP) servers integrated with Microsoft Azure, which enable large language models (LLMs) to securely access Azure tools and data sources, including AI agent services and various database services.