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SergeyMenshykh 25696a72dc .NET: Replace Azure Foundry/Azure AI Foundry with Microsoft Foundry in .NET samples (#5032)
* Replace Azure Foundry/Azure AI Foundry with Microsoft Foundry in samples

Update all .cs, .md, and .yaml files in dotnet/samples/ to use
'Microsoft Foundry' instead of 'Azure Foundry' and 'Azure AI Foundry'.

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* Update dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/Program.cs

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* Update dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/Program.cs

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* Update dotnet/samples/05-end-to-end/A2AClientServer/README.md

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* Update dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/README.md

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* Update dotnet/samples/03-workflows/Agents/FoundryAgent/Program.cs

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* Update dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIProject/Program.cs

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* Fix grammar: 'an Microsoft' -> 'a Microsoft', 'agents ids' -> 'agent IDs'

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-04-01 15:18:33 +00:00

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# Getting started with Model Content Protocol
The getting started with Model Content Protocol samples demonstrate how to use MCP Server tools from an agent.
## Getting started with agents prerequisites
Before you begin, ensure you have the following prerequisites:
- .NET 10.0 SDK or later
- Azure OpenAI service endpoint and deployment configured
- Azure CLI installed and authenticated (for Azure credential authentication)
- User has the `Cognitive Services OpenAI Contributor` role for the Azure OpenAI resource.
**Note**: These samples use Azure OpenAI models. For more information, see [how to deploy Azure OpenAI models with Microsoft Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/deploy-models-openai).
**Note**: These samples use Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Azure OpenAI resource and have the `Cognitive Services OpenAI Contributor` role. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
## Samples
|Sample|Description|
|---|---|
|[Agent with MCP server tools](./Agent_MCP_Server/)|This sample demonstrates how to use MCP server tools with a simple agent|
|[Agent with MCP server tools and authorization](./Agent_MCP_Server_Auth/)|This sample demonstrates how to use MCP Server tools from a protected MCP server with a simple agent|
|[Responses Agent with Hosted MCP tool](./ResponseAgent_Hosted_MCP/)|This sample demonstrates how to use the Hosted MCP tool with the Responses Service, where the service invokes any MCP tools directly|
## Running the samples from the console
To run the samples, navigate to the desired sample directory, e.g.
```powershell
cd Agents_Step01_Running
```
Set the following environment variables:
```powershell
$env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
```
If the variables are not set, you will be prompted for the values when running the samples.
Execute the following command to build the sample:
```powershell
dotnet build
```
Execute the following command to run the sample:
```powershell
dotnet run --no-build
```
Or just build and run in one step:
```powershell
dotnet run
```
## Running the samples from Visual Studio
Open the solution in Visual Studio and set the desired sample project as the startup project. Then, run the project using the built-in debugger or by pressing `F5`.
You will be prompted for any required environment variables if they are not already set.