Microsoft MCP
ActiveDescription
Catalog of official Microsoft MCP server implementations for AI-powered data access and tool integration.
Key Features
- Official Microsoft MCP server catalog — Azure, Fabric, DevOps, Foundry, and more in one repository
- Standardized Model Context Protocol implementation for consistent AI-to-service connectivity
- Multi-IDE support with installation in VS Code, Visual Studio, IntelliJ, and Eclipse
- Azure MCP server with full Azure service management capabilities from AI agents
- Remote MCP servers (Foundry, Azure Resource Manager) for cloud-native deployment
- Shared core libraries, test frameworks, and engineering tooling to unify MCP contributions
Use Cases
💡 Managing Azure cloud resources directly from AI coding assistants like GitHub Copilot
💡 Querying and deploying Azure services through natural language in IDE
💡 Integrating Microsoft Fabric data platform with LLM-powered analytics workflows
💡 Building AI agents that interact with Azure DevOps for CI/CD pipeline management
💡 Using Foundry MCP to access Microsoft AI model catalog and evaluation tools
Categories
Quick Start
1. Install Azure MCP in VS Code: click the VS Code badge in the Azure MCP README or search 'Azure MCP' in extensions
2. Sign in to your Azure account via the extension
3. Ask GitHub Copilot: 'List all my Azure resource groups' or 'Deploy a web app to Azure'
4. For remote MCP: configure the Foundry MCP endpoint at mcp.ai.azure.com in your MCP client
5. See the Troubleshooting docs for connection issues