Learn to leverage Microsoft Agent Framework, the new unified platform from Semantic Kernel and AutoGen engineering teams, to build A2A compatible agents similar to magnetic-one. Use SWE Agents (GitHub Copilot coding agent and Codex with Azure OpenAI models) to accelerate development. Implement MCP tools for secure enterprise agentic workflows. Experience hands-on building, deploying, and orchestrating multi-agent systems with pre-release capabilities. Note: Contains embargoed content.
For detailed lab instructions and hands-on exercises, navigate to the spec-to-agents repository. The Skillable related instructions can be found in lab/instructions directory.
By the end of this session, learners will be able to:
- Build A2A (Agent-to-Agent) compatible agents using Microsoft Agent Framework
- Implement MCP (Model Context Protocol) tools for secure enterprise workflows
- Deploy and orchestrate multi-agent workflows
The Microsoft Learn MCP Server is a remote MCP Server that enables clients like GitHub Copilot and other AI agents to bring trusted and up-to-date information directly from Microsoft's official documentation. Get started by using the one-click button above for VSCode or access the mcp.json file included in this repo.
For more information, setup instructions for other dev clients, and to post comments and questions, visit our Learn MCP Server GitHub repo at https://github.com/MicrosoftDocs/MCP. Find other MCP Servers to connect your agent to at https://mcp.azure.com.
Note: When you use the Learn MCP Server, you agree with Microsoft Learn and Microsoft API Terms of Use.
| Resources | Links | Description |
|---|---|---|
| Ignite 2025 Next Steps | https://aka.ms/Ignite25-Next-Steps | Links to all repos for AI Tour 26 Sessions |
| Azure AI Foundry Community Discord | Connect with the Azure AI Foundry Community! | |
| Learn at Ignite | https://aka.ms/LearnAtIgnite | Continue learning on Microsoft Learn |
Core AI Engineering Team
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