by microsoft
Catalog of official Microsoft MCP server implementations. Access Azure, Microsoft 365, Dynamics 365, Power Platform, and
Official Microsoft MCP servers that connect AI applications to Azure, Microsoft 365, Dynamics 365, Power Platform, and Microsoft Fabric services. Provides standardized access to Microsoft's cloud ecosystem through the Model Context Protocol.
Microsoft MCP Servers is an official MCP server published by microsoft that provides AI assistants with tools and capabilities via the Model Context Protocol. Catalog of official Microsoft MCP server implementations. Access Azure, Microsoft 365, Dynamics 365, Power Platform, and It is categorized under cloud infrastructure, developer tools.
You can install Microsoft MCP Servers in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Microsoft MCP Servers is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Microsoft MCP Servers has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Microsoft MCP Servers surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Microsoft MCP Servers benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Microsoft MCP Servers into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend Microsoft MCP Servers for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Microsoft MCP Servers is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Microsoft MCP Servers reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We evaluated Microsoft MCP Servers against two servers with overlapping tools; this profile had the clearer scope statement.
Microsoft MCP Servers has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired Microsoft MCP Servers into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to large language models (LLMs). It allows AI applications to connect with various data sources and tools in a consistent manner, enhancing their capabilities and flexibility. MCP follows a client-server architecture:
For more details, visit the official MCP website.
This repository contains core libraries, test frameworks, engineering systems, pipelines, and tooling for Microsoft MCP Server contributors to unify engineering investments; and reduce duplication and divergence:
| MCP Server | README | Source Code | CHANGELOG | Releases | Documentation | Troubleshooting | Support |
|---|---|---|---|---|---|---|---|
| Azure MCP | Azure MCP README | Azure MCP Source Code | Azure MCP CHANGELOG | Azure MCP Releases | Azure MCP Documentation | Azure MCP Troubleshooting | Azure MCP Support |
| Microsoft Fabric MCP | Fabric MCP README | Fabric MCP Source Code | Fabric MCP CHANGELOG | Fabric MCP Releases | Fabric Documentation | Fabric MCP Troubleshooting | Fabric MCP Support |
CLOUD AND INFRASTRUCTURELocal
CLOUD AND INFRASTRUCTUREREMOTE - https://mcp.ai.azure.com
DEVELOPER TOOLSLocal CLOUD AND INFRASTRUCTURELocal DEVELOPER TOOLSREMOTE - https://api.githubcopilot.com/mcp [![InsPrerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.