Microsoft MCP Servers▌

by microsoft
Catalog of official Microsoft MCP server implementations. Access Azure, Microsoft 365, Dynamics 365, Power Platform, and
Catalog of official Microsoft MCP server implementations. Access Azure, Microsoft 365, Dynamics 365, Power Platform, and other Microsoft services through AI-powered tools. 2,700+ GitHub stars.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Enterprise developers building AI applications with Microsoft services
- / Organizations integrating AI with existing Microsoft cloud infrastructure
- / Businesses automating workflows across Microsoft 365 and Azure
- / Data analysts working with Microsoft Fabric and Power BI
capabilities
- / Access Azure cloud services and resources
- / Connect to Microsoft 365 applications and data
- / Interact with Dynamics 365 business applications
- / Integrate with Power Platform tools
- / Query Microsoft Fabric data analytics platform
- / Manage Microsoft cloud infrastructure
what it does
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.
about
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.
how to install
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.
license
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.
readme
🌟 Microsoft MCP Servers
📘 What is MCP?
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:
- MCP Hosts: Applications like AI assistants or IDEs that initiate connections.
- MCP Clients: Connectors within the host application that maintain 1:1 connections with servers.
- MCP Servers: Services that provide context and capabilities through the standardized MCP.
For more details, visit the official MCP website.
📁 Which MCP Servers are built from this repository?
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 |
📚 Which MCP Servers are available from Microsoft?
<img height="18" width="18" src="https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/acom_social_icon_azure" alt="Microsoft Azure Logo" /> Azure
- REPOSITORY: microsoft/mcp
- DESCRIPTION: All Azure MCP tools in a single server. The Azure MCP Server implements the MCP specification to create a seamless connection between AI agents and Azure services. Azure MCP Server can be used alone or with the GitHub Copilot for Azure extension in VS Code.
- CATEGORY:
CLOUD AND INFRASTRUCTURE - TYPE:
Local - INSTALL:
✨ Microsoft Foundry
- DOCUMENTATION: Get started with Foundry MCP Server
- DESCRIPTION: A Model Context Protocol server for Microsoft Foundry, providing a unified set of tools for models, knowledge, evaluation, and more.
- CATEGORY:
CLOUD AND INFRASTRUCTURE - TYPE:
REMOTE-https://mcp.ai.azure.com - INSTALL:
<img height="18" width="18" src="https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/1062064-Products-1.2-24x24" alt="Microsoft Azure DevOps Logo" /> Azure DevOps
- REPOSITORY: Azure DevOps MCP Server
- DESCRIPTION: This TypeScript project provides a local MCP server for Azure DevOps, enabling you to perform a wide range of Azure DevOps tasks directly from your code editor.
- CATEGORY:
DEVELOPER TOOLS - TYPE:
Local - INSTALL:
☸️ Azure Kubernetes Service (AKS)
- REPOSITORY: Azure/aks-mcp
- DESCRIPTION: An MCP server that enables AI assistants to interact with Azure Kubernetes Service (AKS) clusters. It serves as a bridge between AI tools and AKS, translating natural language requests into AKS operations and returning the results in a format the AI tools can understand.
- CATEGORY:
CLOUD AND INFRASTRUCTURE - TYPE:
Local - INSTALL:
<img height="18" width="18" src="https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png" alt="GitHub Logo" /> GitHub
- REPOSITORY: github/github-mcp-server
- DESCRIPTION: Access GitHub repositories, issues, and pull requests through secure API integration.
- CATEGORY:
DEVELOPER TOOLS - TYPE:
REMOTE-https://api.githubcopilot.com/mcp - INSTALL:
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FAQ
- What is the Microsoft MCP Servers MCP server?
- Microsoft MCP Servers is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Microsoft MCP Servers?
- This profile displays 31 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★31 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
Microsoft MCP Servers has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Hiroshi Verma· Dec 12, 2024
Strong directory entry: Microsoft MCP Servers surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Anaya Yang· Dec 8, 2024
According to our notes, Microsoft MCP Servers benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Dev Verma· Dec 8, 2024
We wired Microsoft MCP Servers into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Hiroshi Abbas· Nov 27, 2024
I recommend Microsoft MCP Servers for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Camila Anderson· Nov 27, 2024
Microsoft MCP Servers is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Rahul Santra· Nov 19, 2024
Microsoft MCP Servers reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Jin Sethi· Oct 18, 2024
We evaluated Microsoft MCP Servers against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Dev Gill· Oct 18, 2024
Microsoft MCP Servers has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Pratham Ware· Oct 10, 2024
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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