# Microsoft Learn MCP server > Search and fetch official Microsoft and Azure documentation and code samples from Microsoft Learn. - Listing: https://mcp.tc/i/microsoft-learn - Connect: use the server's own URL `https://learn.microsoft.com/api/mcp` (no sign-in); clients connect to it directly. The listing link is a page, not an MCP endpoint. - Type: remote (Streamable HTTP) - Auth: none - Category: [Docs & Knowledge](https://mcp.tc/c/docs-knowledge) - Vendor: Microsoft - Verified: yes, mcp.tc checked that this is the official server (https://mcp.tc/verify). It says who runs the server, not that it is safe. - Homepage: - Repository: ## About Connects your assistant to Microsoft Learn so answers about Azure, .NET, Microsoft 365 and other Microsoft technologies come from first-party documentation. You can search docs, search code samples with an optional language filter, and fetch a full documentation page as markdown. Runs as a hosted Streamable HTTP endpoint at https://learn.microsoft.com/api/mcp. No sign-in or API key is required. All three tools are read-only. An optional maxTokenBudget query parameter limits the size of search responses. ## What it can do - Search official Microsoft and Azure docs for relevant excerpts - Find official code samples, filtered by programming language - Fetch a full Microsoft Learn page as markdown - Ground answers in current first-party documentation ## Tools (3) - `microsoft_docs_search`: Search official Microsoft docs and return up to 10 excerpts with title and URL. (read-only) - `microsoft_code_sample_search`: Search Microsoft Learn code samples, with an optional language filter. (read-only) - `microsoft_docs_fetch`: Fetch a Microsoft Learn page by URL and convert it to markdown. (read-only) ## Example prompts - "Give me the Azure CLI commands to create a Container App with a managed identity." - "Show me Python code samples for the Azure AI Foundry evaluation SDK." - "Fetch the Microsoft Learn page on IHttpClientFactory and summarize the best practices." - "Search Microsoft docs for Azure Functions timeout limits." ## Install ### Claude Code 1. Run this in a terminal, in your project folder: ```bash claude mcp add --transport http microsoft-learn https://learn.microsoft.com/api/mcp ``` 2. Start Claude Code and type `/mcp`. **microsoft-learn** should show as connected. Add `--scope user` to make it available in every project, not just this one. ### Claude Desktop 1. Open **Settings → Connectors** and click **Add custom connector**. 2. Name it **Microsoft Learn** and paste this URL: ```url https://learn.microsoft.com/api/mcp ``` 3. Click **Add**. Its tools appear in the chat’s tools menu. Claude Desktop’s JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too. ### claude.ai 1. Open the connector form on claude.ai. This button fills in the name and URL for you: [Add to claude.ai]() (opens connector settings) 2. Check that the URL reads `https://learn.microsoft.com/api/mcp` and click **Add**. 3. Turn it on in a chat from the tools menu. Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under **Organization settings → Connectors**. ### ChatGPT 1. On chatgpt.com, open **Settings → Security and login** and turn on **Developer mode**. 2. Go to `chatgpt.com/plugins` and click **+** to create an app for a remote MCP server. 3. Paste `https://learn.microsoft.com/api/mcp` as the server URL and choose **No authentication**. Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts. ### Cursor [Add to Cursor]() (opens Cursor) Or add it by hand to `~/.cursor/mcp.json` (all projects) or `.cursor/mcp.json` (this project): `mcp.json`: ```json { "mcpServers": { "microsoft-learn": { "url": "https://learn.microsoft.com/api/mcp" } } } ``` ### VS Code [Install in VS Code]() (opens VS Code) Or from a terminal: ```bash code --add-mcp '{"name":"microsoft-learn","type":"http","url":"https://learn.microsoft.com/api/mcp"}' ``` Or commit it to the repo in `.vscode/mcp.json`: `.vscode/mcp.json`: ```json { "servers": { "microsoft-learn": { "type": "http", "url": "https://learn.microsoft.com/api/mcp" } } } ``` ### Devin Desktop 1. Add it to `~/.config/devin/mcp_config.json` (macOS and Linux) or `%APPDATA%\devin\mcp_config.json` (Windows): `mcp_config.json`: ```json { "mcpServers": { "microsoft-learn": { "serverUrl": "https://learn.microsoft.com/api/mcp" } } } ``` 2. Refresh the MCP server list in Cascade. Devin Desktop is the new name for Windsurf. It reads `serverUrl` (or `url`) for remote servers. ### Codex ```bash codex mcp add microsoft-learn --url https://learn.microsoft.com/api/mcp ``` Or edit `~/.codex/config.toml` directly: `config.toml`: ```toml [mcp_servers.microsoft-learn] url = "https://learn.microsoft.com/api/mcp" ``` ### Gemini CLI ```bash gemini mcp add --transport http microsoft-learn https://learn.microsoft.com/api/mcp ``` This adds it to the current project. Add `-s user` to use it everywhere. ### Any client Most clients accept this shape. Some name the URL field differently: `serverUrl` in Devin Desktop, `httpUrl` in Gemini CLI’s settings file. ```json { "mcpServers": { "microsoft-learn": { "type": "http", "url": "https://learn.microsoft.com/api/mcp" } } } ``` Zed puts servers under `context_servers` in its settings. Cline needs `"type": "streamableHttp"`, or it assumes SSE. Client only starts local servers? Bridge it with `npx -y mcp-remote https://learn.microsoft.com/api/mcp`. ## Details - Server version: 1.0.0 - MCP protocol version: 2025-06-18 - Last checked: 2026-10-03 (reachable) - Listed: 2026-10-03 - Updated: 2026-10-04 --- Source: https://mcp.tc/i/microsoft-learn (mcp.tc is an independent directory, not affiliated with this server's publisher). Corrections: https://mcp.tc/report