A bridge for AI agents to query, search, and retrieve live Microsoft technical documentation and official code samples.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mslearn-mcp
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mslearn-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Microsoft Learn MCP?
The Microsoft Learn MCP skill is a specialized integration that connects AI agents to the Model Context Protocol (MCP) server hosted by Microsoft. By utilizing this within the Openclaw Skills ecosystem, developers can give their AI assistants real-time access to authoritative documentation for Azure, .NET, Windows, and more. This eliminates the risk of outdated LLM training data by fetching the latest technical specs and implementation guides directly from the source.
This skill functions as a remote MCP server via streamable HTTP, making it lightweight and easy to integrate into existing agentic workflows. It is essential for developers who require high-accuracy technical information and verified code snippets for Microsoft technologies.
Microsoft Learn MCP Use Cases
- Searching for the latest Azure Functions triggers and service bindings.
- Retrieving specific documentation pages to provide context for AI debugging tasks.
- Finding official Microsoft code samples in Python, C#, or JavaScript.
- Verifying API references and configuration schemas for cloud infrastructure.
- Automating the gathering of technical requirements for Microsoft-based software projects.
How Microsoft Learn MCP Works
- The AI agent establishes a connection to the Microsoft Learn remote endpoint via the mcporter tool.
- When a technical query is initiated, the agent selects from specialized tools: search, fetch, or code sample search.
- The skill sends the request to the Microsoft Learn API, which processes the natural language or specific URL parameters.
- Live documentation content or code snippets are returned to the agent in a structured format.
- The agent utilizes this context to answer questions, generate code, or provide configuration guidance within Openclaw Skills environments.
Microsoft Learn MCP Setup
To add this skill to your environment using mcporter, run the following command:
mcporter config add --name mslearn --url https://learn.microsoft.com/api/mcp --type http
Alternatively, you can manually update your configuration file located at ~/.config/mcporter/config.json:
{
"servers": {
"mslearn": {
"type": "http",
"url": "https://learn.microsoft.com/api/mcp"
}
}
}
Verify the connection by listing the available tools:
mcporter list mslearn --schema
Microsoft Learn MCP Data Schema & Taxonomy
The skill interacts with dynamic tool schemas provided by Microsoft. The following table describes the core data interaction points:
| Tool | Primary Parameters | Function |
|---|---|---|
| microsoft_docs_search | query (string), locale (optional) | Performs a keyword search across Microsoft Learn catalog. |
| microsoft_docs_fetch | url (string) | Retrieves the markdown content of a specific documentation page. |
| microsoft_code_sample_search | query (string), language (optional) | Searches for official repository samples filtered by tech stack. |
All tools support a --output json flag for structured data processing.
Microsoft Learn MCP Advanced Features
- Multi-locale support ensuring documentation is retrieved in the preferred language (defaults to en-us).
- Dynamic schema detection that automatically adapts to new tools added to the Microsoft Learn MCP endpoint.
- Language-specific code filtering to narrow down search results to relevant implementation examples.
- Integration ready for complex Openclaw Skills pipelines that require cross-referencing docs with live code analysis.
SKILL.md
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