The microsoft/mcp repository is a catalog of official Microsoft Model Context Protocol server implementations designed to enable AI-powered data access and tool integration. Written primarily in C#, the repository serves as a central hub for standardized connections between large language models and various Microsoft cloud services and data sources.
Model Context Protocol is an open protocol that standardizes how applications provide context to LLMs through a client-server architecture. MCP Hosts are applications like AI assistants or IDEs that initiate connections, MCP Clients are connectors within those applications that maintain individual connections with servers, and MCP Servers are services that provide context and capabilities through the standardized protocol. This repository contains the core libraries, test frameworks, engineering systems, pipelines, and tooling that Microsoft MCP Server contributors use to unify their engineering investments and reduce duplication and divergence across implementations.
The repository hosts multiple official MCP server implementations. The Azure MCP Server implements the MCP specification to create seamless connections between AI agents and Azure services, available as a local server installable in VS Code, VS Code Insiders, Visual Studio, IntelliJ IDEA, and Eclipse. Microsoft Foundry provides a remote MCP server at https://mcp.ai.azure.com offering unified tools for models, knowledge, evaluation, and related functionality. The Azure Resource Manager MCP Server operates as a remote service at https://mcp.management.azure.com with tools to use Azure Resource Graph for retrieving and filtering information about Azure resources and managing ARM template deployments. Azure DevOps MCP Server is a TypeScript-based local server enabling a wide range of Azure DevOps tasks directly from code editors. The Azure Kubernetes Service MCP Server bridges AI tools with AKS clusters, translating natural language requests into AKS operations.
The repository is classified across multiple domains including Cloud Platform, Azure, Cloud Computing, Development Tools, DevOps, Infrastructure, Platform Services, Data Management, AI/ML, and Security, reflecting its broad scope in connecting AI systems to Microsoft's enterprise ecosystem. The repository functions as both a catalog of available servers and a shared engineering platform that standardizes how Microsoft builds and maintains MCP server implementations for AI integration with Azure and related services.
