This repository catalogs Microsoft's official Model Context Protocol (MCP) server implementations, providing a standardized way for AI applications to access external data sources and tools. It targets developers building AI-powered applications that require seamless integration with services like Azure DevOps, Microsoft Clarity, Dataverse, and file systems, enabling enhanced context awareness and functionality for LLMs.

How It Works

MCP employs a client-server architecture where MCP Hosts (AI applications) connect to MCP Servers via MCP Clients. These servers expose data and capabilities through a standardized protocol, allowing AI models to query and interact with diverse services consistently. This approach abstracts away the complexities of individual service APIs, offering a unified interface for AI-driven data access and tool orchestration.

Quick Start & Requirements

Installation and usage vary per server implementation. Many servers are available as packages (e.g., @microsoft/clarity-mcp-server, @microsoft/devbox-mcp) installable via npm or similar package managers. Some have dedicated repositories with specific setup instructions and may require cloud credentials or specific SDKs. Links to individual server repositories and documentation are provided within the README.

Highlighted Details

• Broad Service Integration: Offers MCP servers for a wide array of Microsoft services including Azure DevOps, Azure resources, Microsoft Clarity, Dataverse, SQL databases, and Microsoft 365.
• Developer Tooling: Includes servers for developer-focused tasks like managing Microsoft Dev Box and interacting with Azure Kubernetes Service (AKS).
• Web Interaction: Features a Playwright MCP server for LLM-driven web browsing, data extraction, and automated testing.
• Documentation Access: Provides an MCP server for accessing Microsoft's official documentation, enabling AI models to retrieve authoritative technical content.

Maintenance & Community

This is an official Microsoft project, indicating active development and support. Specific community channels like Discord or Slack are not explicitly mentioned in the README, but contributions are welcomed via pull requests, subject to a Contributor License Agreement (CLA).

Licensing & Compatibility

The repository itself does not specify a single license. Individual server implementations may have their own licenses. Given the Microsoft origin and integration with various Azure services, commercial use is likely permitted, but users should verify the license for each specific MCP server implementation they intend to use.

Limitations & Caveats

The project is a catalog of multiple implementations, meaning setup, features, and stability will vary significantly between individual MCP servers. Some servers are in Public Preview, indicating potential for breaking changes or incomplete functionality. Users must consult the documentation for each specific server to understand its current status and requirements.