agentic-eval
FreePatterns and techniques for evaluating and improving AI agent outputs.
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Microsoft Learn MCP Server integration for accessing official Microsoft documentation
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Review the instructions the agent will receive before you install.
Access trusted and up-to-date Microsoft Learn documentation via the Model Context Protocol (MCP).
The Microsoft Learn MCP Server enables AI agents and development environments to bring official Microsoft documentation directly into their workflows. It provides a remote MCP server endpoint that supports searching documentation, fetching complete articles, and searching through code samples.
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.
Search through Microsoft's official documentation using natural language queries:
Retrieve full documentation articles with:
Find relevant code samples across Microsoft documentation:
The Microsoft Learn MCP Server works with:
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Patterns and techniques for evaluating and improving AI agent outputs.
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Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations.
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Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technical research, domain knowledge gathering, market analysis, or learning about complex subjects
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AI-powered wiki generation for code repositories with commands, agents, and skills
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Use when building .NET 10 or C# 14 applications; when using minimal APIs, modular monolith patterns, or feature folders; when implementing HTTP resilience, Options pattern, Channels, or validation; when seeing outdated patterns like old extension method syntax
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Implements accessible .NET UI. SemanticProperties, ARIA, AutomationPeer, testing per platform.
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