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* Add MCP-based skills support - Add AgentMcpSkill, AgentMcpSkillResource, AgentMcpSkillsSource, and McpSkillIndex to Microsoft.Agents.AI.Mcp - Add AgentSkillsProviderBuilderMcpExtensions for DI integration - Add Agent_Step06_McpBasedSkills sample project - Add unit tests for AgentMcpSkillsSource - Update solution file and project references Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove unnecessary [Experimental] attributes from MCP package The package is already alpha, so the [Experimental] attribute is redundant. Removed from both AgentSkillsProviderBuilderMcpExtensions and AgentMcpSkillsSource classes. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Make Agent_Step06_McpBasedSkills self-contained and add to verify-samples Embed an internal MCP server (launched via --server flag as a child process) that serves skill://index.json and skill://unit-converter/SKILL.md resources, replacing the external MCP_SKILLS_ENDPOINT dependency. The sample now uses StdioClientTransport and a fixed prompt instead of an interactive loop. Added SampleDefinition to AgentsSamples.cs for automated verification. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Sort usings --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
1d301af7d2
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2026-05-27 18:38:57 +00:00
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Getting started
The getting started samples demonstrate the fundamental concepts and functionality of the agent framework.
Samples
| Sample | Description |
|---|---|
| Agents | Step-by-step instructions for getting started with agents |
| Agents with Foundry | Foundry agent samples using FoundryAgent and AIProjectClient.AsAIAgent(...) |
| Agent Providers | Getting started with creating agents using various providers |
| Agents With Retrieval Augmented Generation (RAG) | Adding Retrieval Augmented Generation (RAG) capabilities to your agents |
| Agents With Memory | Adding memory capabilities to your agents |
| Agents With CodeAct (Hyperlight) | Enabling sandboxed code execution (CodeAct) for your agents via Hyperlight |
| Agent Open Telemetry | Getting started with OpenTelemetry for agents |
| Agent With OpenAI exchange types | Using OpenAI exchange types with agents |
| Agent With Anthropic | Getting started with agents using Anthropic Claude |
| Model Context Protocol | Getting started with Model Context Protocol |
| Agent Skills | Getting started with Agent Skills |
| Agent Harness with built-in tools | Demonstrating how to build an Agent Harness with built-in planning, todo, and mode management tooling |
| Declarative Agents | Loading and executing AI agents from YAML configuration files |
| AG-UI | Getting started with AG-UI (Agent UI Protocol) servers and clients |
| Dev UI | Interactive web interface for testing and debugging AI agents during development |
| A2A Agents | Working with Agent-to-Agent (A2A) specific features |