Microsoft MCP Catalog
Officialby Microsoft
Microsoft's official collection of Model Context Protocol servers. One repo, 20+ MCP servers covering Azure infrastructure, Microsoft 365 productivity, developer tools, and data analytics. This is how Microsoft wants AI agents to talk to its entire cloud stack. The headline server is Azure MCP — all Azure tools consolidated into a single MCP endpoint. Instead of juggling separate CLIs for compute, storage, networking, and databases, your AI agent gets a unified interface to the entire Azure platform. Fabric MCP does the same for Microsoft's data analytics workloads, enabling AI-assisted development without requiring live Fabric environments. Enterprise coverage is broad. Azure DevOps MCP (TypeScript) lets coding agents manage pipelines, work items, and repos directly from your editor. AKS MCP translates natural language into Kubernetes operations. Microsoft 365 Agents Toolkit connects AI agents to the full M365 ecosystem — calendar, mail, Copilot Chat, and admin tools all exposed as MCP endpoints. The catalog includes both local and remote server types. Local servers (Azure MCP, Fabric MCP, Azure DevOps, Markitdown) run alongside your IDE. Remote servers (Microsoft Foundry MCP, GitHub MCP, Calendar/Mail tools) connect to cloud endpoints. Installation is supported for VS Code, VS Code Insiders, Visual Studio, IntelliJ IDEA, and Eclipse. 2.9K GitHub stars. 436 forks. Active development with 1,610 commits. The pace of server additions suggests Microsoft is treating MCP as a first-class integration layer for its entire product suite. Browse more MCP servers or read about what MCP is and why it matters.
Installation
Key Features
- ✓Azure MCP: unified access to all Azure services through a single MCP endpoint
- ✓Fabric MCP: AI-assisted data analytics development without live environments
- ✓Azure DevOps MCP: pipeline, work item, and repo management from your editor
- ✓AKS MCP: natural language to Kubernetes operations
- ✓Microsoft 365 tools: calendar, mail, Copilot Chat, admin center via MCP
- ✓Microsoft Foundry MCP: models, knowledge, and evaluation through ai.azure.com
- ✓Markitdown MCP: robust markdown parsing and formatting
- ✓Multi-IDE support: VS Code, Visual Studio, IntelliJ IDEA, Eclipse
Use Cases
- →Enterprise teams connecting AI coding agents to Azure infrastructure
- →DevOps engineers managing Azure pipelines and Kubernetes clusters via natural language
- →Data teams using AI to develop Fabric analytics workloads
- →Organizations integrating Microsoft 365 workflows into AI agent pipelines