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.

The Azure MCP Server is a server that implements the MCP protocol, providing seamless connection between AI agents and Azure services (such as Storage and Cosmos DB), and supporting the conversion of natural language commands into Azure operations.

An implementation of the MCP Server for Azure DevOps, providing a standardized protocol for AI assistants to access the Azure DevOps API

This project provides a set of tools and services to integrate Power Platform CLI, Graph API, and Azure REST API through the Model Context Protocol (MCP), support interaction with AI models, and simplify the development process.

The ROADrecon MCP Server provides Azure AD data security analysis services for AI assistants

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.

This is a project demonstrating how to use MCP Servers in a Chainlit environment. It can be quickly deployed through Azure Open AI integration and Dev Containers, supporting examples such as file system operations.

This project is a server that implements the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services and enabling functions such as natural language operations on work items, project management, and team collaboration.

This project shows how to create an MCP server and client for Azure Cosmos DB, including a front - end application (product catalog and AI assistant) and an MCP server component that connects to the database.

This project is an Azure troubleshooting server based on the Model Context Protocol (MCP), which allows AI assistants to interactively diagnose Azure resource problems through the Azure self-service API.

Snippy is an intelligent code snippet management service based on Azure Functions. It uses the MCP protocol to interact with tools like Copilot, supporting functions such as code snippet storage, search, and AI analysis.

Azure Database for PostgreSQL MCP Server is a server based on the Model Context Protocol (MCP) standard that allows AI models to interact with Azure PostgreSQL databases and provides standardized data access capabilities.

This project is a server based on the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services, enabling natural - language operations on work items, project management, and other functions.

The Steampipe MCP server is a bridge that connects AI assistants with cloud infrastructure data. It supports querying and analyzing over 100 cloud services such as AWS, Azure, and GCP through natural language, providing functions for security and compliance analysis, cost optimization, and query development assistance.

This project provides two MCP server implementations that connect Claude Desktop to Azure search capabilities, supporting searches for document and web content through the Azure AI Agent Service (recommended) or direct Azure AI Search integration.

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 Azure CLI MCP Server is a server based on the MCP protocol. It enhances the functions of Azure CLI by wrapping it and providing friendly prompts, and supports the execution of Azure CLI commands driven by AI.

Azure MCP Hub is a platform that helps developers quickly build, run, or reuse Model Context Protocol (MCP) servers. It supports multiple programming languages and AI frameworks, enabling AI agents to call real APIs.

Hermes Search MCP Server is an open - source service based on the Model Context Protocol, providing full - text and semantic search functions integrated with Azure Cognitive Search, and supporting multiple AI client tools.

Use Azure API Management as the AI gateway for MCP servers to achieve secure access to remote MCP servers and support the latest MCP authorization specification.