The Microsoft Docs MCP Server implements the Model Context Protocol (MCP) server that provides AI assistants with real-time access to official Microsoft documentation.
Please note that this project is in Public Preview and implementation may significantly change prior to our General Availability.
- 🎯 Overview
- 🌐 The Microsoft Docs MCP Server Endpoint
- 🛠️ Currently Supported Tools
- 🔌 Installation & Getting Started
- ❓ Troubleshooting
- 🔮 Future Enhancements
- 📚 Additional Resources
The Microsoft Docs MCP Server is a cloud-hosted service that enables MCP hosts like GitHub Copilot and Cursor to search and retrieve accurate information directly from Microsoft's official documentation. By implementing the standardized Model Context Protocol (MCP), this service allows any compatible AI system to ground its responses in authoritative Microsoft content.
- High-Quality Content Retrieval: Search and retrieve relevant content from Microsoft Learn, Azure documentation, Microsoft 365 documentation, and other official Microsoft sources.
- Semantic Understanding: Uses advanced vector search to find the most contextually relevant documentation for any query.
- Optimized Chunking: Returns up to 10 high-quality content chunks (each max 500 tokens), with article titles, URLs, and self-contained content excerpts.
- Real-time Updates: Access the latest Microsoft documentation as it's published.
The Microsoft Docs MCP Server is accessible to any IDE, agent, or tool that supports the Model Context Protocol (MCP). Any compatible client can connect to the following remote MCP endpoint:
https://learn.microsoft.com/api/mcp
Note: This endpoint is designed for programmatic access by MCP clients via Streamable HTTP. It does not support direct access from a web browser and may return a
405 Method Not Allowederror if accessed manually.
Example JSON configuration:
{
"microsoft.docs.mcp": {
"type": "http",
"url": "https://learn.microsoft.com/api/mcp"
}
}| Tool Name | Description | Input Parameters |
|---|---|---|
microsoft_docs_search |
Performs semantic search against Microsoft official technical documentation | query (string): The search query for retrieval |
The Microsoft Docs MCP Server supports quick installation across multiple development environments. Choose your preferred client below for streamlined setup:
| Client | One-click Installation | MCP Guide |
|---|---|---|
| VS Code |  |
VS Code MCP Official Guide |
| Visual Studio | Manual configuration required Use "type": "http" |
Visual Studio MCP Official Guide |
| Cursor IDE |  |
Cursor MCP Official Guide |
| Roo Code | Manual configuration required Use "type": "streamable-http" |
Roo Code MCP Official Guide |
| Cline | Manual configuration required Use "type": "streamableHttp" |
Cline MCP Official Guide |
Some clients don't support Streamable HTTP, so you can use mcp-remote as a workaround:
| Client | Manual Configuration | MCP Guide |
|---|---|---|
| Claude Desktop | View Config{ |
Claude Desktop MCP Guide |
| Windsurf | View Config{ |
Windsurf MCP Guide |
- Open GitHub Copilot in VS Code and switch to Agent mode
- You should see the Docs MCP Server in the list of tools
- Try a prompt that tells the agent to use the Docs MCP Server, such as "what are the az cli commands to create an Azure container app according to official Microsoft Learn documentation?"
- The agent should be able to use the Docs MCP Server tools to complete your query
| Issue | Possible Solution |
|---|---|
| Connection errors | Verify your network connection and that the server URL is correctly entered |
| No results returned | Try rephrasing your query with more specific technical terms |
| Tool not appearing in VS Code | Restart VS Code or check that the MCP extension is properly installed |
| HTTP status 405 | Method not allowed happens when a browser tries to connect to the endpoint. Try using the Docs MCP Server through VS Code GitHub Copilot or MCP Inspector instead. |
The Microsoft Docs MCP Server team is working on several enhancements:
- Expanding coverage to additional Microsoft documentation sources
- Improved query understanding for more precise results