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SergeyMenshykh caa75f7cdd Python: Add Foundry Toolbox MCP skills hosted agent sample (#6363 )

* Add 12_foundry_toolbox_mcp_skills hosted agent sample

Demonstrates using MCPSkillsSource with a Foundry Toolbox MCP endpoint
to discover and serve skills via SkillsProvider (progressive disclosure).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix env var reference in README and reuse local var in main.py

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

* Require AZURE_AI_MODEL_DEPLOYMENT_NAME and use placeholder in .env.example

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Document Toolbox MCP skills vs Foundry Skills in sample README

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Reference 12_foundry_toolbox_mcp_skills in parent README

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: SergeyMenshykh <SergeMenshikh@outlook.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

caa75f7cdd · 2026-06-09 08:38:19 +00:00

History

a2a

Python: Reorganize A2A samples and use package A2AExecutor (#6165 )

2026-06-01 07:09:11 +00:00

azure_functions

Python: docs(python/samples): recommend uv venv and document Windows ensurepip hang workaround (#5508 )

2026-05-04 04:46:17 +00:00

container/hyperlight_codeact

Python: Remove bespoke Foundry toolbox helpers; standardize on MCP for toolbox consumption (#5671 )

2026-05-06 23:56:16 +00:00

durabletask

Python: Add redis[asyncio] to requirements.txt for streaming samples (#5509 )

2026-05-04 04:45:07 +00:00

foundry-hosted-agents

Python: Add Foundry Toolbox MCP skills hosted agent sample (#6363 )

2026-06-09 08:38:19 +00:00

README.md

Add hosting samples overview README (#5407 )

2026-05-27 21:08:17 +00:00

README.md

Hosting Samples

This directory contains Python samples that demonstrate different ways to host Agent Framework agents. Use this page to choose the hosting model that best fits your scenario, then continue to the README in the relevant subdirectory.

Hosting Options

Option	Use this when you need...	Start here
A2A	Agent-to-Agent protocol interoperability or remote agent invocation.	`a2a/README.md`
Azure Functions	HTTP or serverless hosting on Azure Functions.	`azure_functions/README.md`
Durable Task	Durable execution, long-running flows, or orchestration patterns.	`durabletask/README.md`
Foundry Hosted Agents	Azure AI Foundry hosted agent deployment.	`foundry-hosted-agents/README.md`

How to Choose

Start with A2A if you want one agent to call or expose another agent over the A2A protocol.
Start with Azure Functions if you want an HTTP-hosted or serverless entry point using Azure Functions.
Start with Durable Task if you need persistent state, durable workflows, or orchestration across multiple steps.
Start with Foundry Hosted Agents if you want to package and deploy an agent as a hosted agent in Azure AI Foundry.

Common Prerequisites

Most hosting samples share a small set of prerequisites:

A supported Python environment for running the samples locally.
An Azure AI Foundry project endpoint and model deployment name for FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL.
Azure CLI authentication via az login when the sample uses AzureCliCredential.
Any hosting-specific tools or extra services called out in the subdirectory README.

Next Steps

Pick the hosting approach that matches your scenario.
Open the corresponding README for setup and run instructions.
Follow that sample's environment, dependency, and execution steps.