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MCP server · Cloud

Openai MCP Agent Dotnet

Sample to create an AI Agent using OpenAI models with any MCP server running on Azure Container Apps

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Scored 6 months ago · breakdown

About Openai MCP Agent Dotnet

Openai MCP Agent Dotnet is an MCP server in the Cloud category: sample to create an AI Agent using OpenAI models with any MCP server running on Azure Container Apps.

Install

From source
git clone https://github.com/Azure-Samples/openai-mcp-agent-dotnet

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README


name: .NET OpenAI MCP Agent description: This is an MCP agent app written in .NET, using OpenAI, with a remote MCP server written in TypeScript. languages:

  • csharp
  • bicep
  • azdeveloper products:
  • azure-openai
  • azure-container-apps
  • azure page_type: sample urlFragment: openai-mcp-agent-dotnet

.NET OpenAI MCP Agent

This is an MCP agent app written in .NET, using Azure OpenAI, with a remote MCP server written in TypeScript.

Features

This app provides features like:

  • The MCP host + MCP client app is written in .NET Blazor.
  • The MCP client app connects to a to-do MCP server written in TypeScript.
  • Both MCP client and server apps are running on Azure Container Apps (ACA).
  • The MCP client app is secured by the built-in auth of ACA.
  • The MCP server app is only accessible from the MCP client app.

Overall architecture diagram

Prerequisites

Getting Started

You can now use GitHub Codespaces to run this sample app (takes several minutes to open it)! 👉 Open in GitHub Codespaces.

Get Azure AI Foundry or GitHub Models

  • To run this app, you should have an Azure AI Foundry instance.
  • If you use Azure AI Foundry, make sure you have the GPT-5-mini models deployed.
  • As a default, the deployed model name is gpt-5-mini.

Get AI Agent App

  1. Create a directory for the app.

    # zsh/bash
    mkdir -p openai-mcp-agent-dotnet
    
    # PowerShell
    New-Item -ItemType Directory -Path openai-mcp-agent-dotnet -Force
    
  2. Initialize azd.

    cd openai-mcp-agent-dotnet
    azd init -t openai-mcp-agent-dotnet
    

    NOTE: You'll be asked to enter an environment name, which will be the name of your Azure Resource Group. For example, the environment name might be openai-mcp-agent.

Run on Azure

  1. Check that you have the necessary permissions:

  2. Login to Azure.

    azd auth login
    
  3. Deploy apps to Azure. It will automatically find the MCP server app and deploy it at the same time.

    azd up
    

    NOTE:

    1. By default, the MCP client app is protected by the ACA built-in auth feature. You can turn off this feature before running azd up by setting:

      azd env set USE_LOGIN false
      
    2. By default, the agent uses gpt-5-mini. You can change it to something else by setting:

      azd env set GPT_MODEL_NAME <azure-openai-model-name>
      
    3. By default, the agent uses the keyless approach for Azure OpenAI authentication. You can change it to use Azure OpenAI API key by setting:

      azd env set AOAI_USE_API_KEY true
      
    4. By default, the agent is production mode. You can change it to the development mode to either Both or Client that shows more detailed logs by setting:

      azd env set ENABLE_DEVELOPMENT_MODE Both
      
    5. By default, the MCP server app is production mode. You can change it to the development mode to either Both or Server that shows more detailed logs by setting:

      azd env set ENABLE_DEVELOPMENT_MODE Both
      
    6. During the deployment,

      • You will be asked to enter the Azure Subscription and two locations - one for Azure AI Foundry and the other for the rest of resources.
  4. In the terminal, get the client app URL deployed. It might look like:

    https://mcptodo-clientapp.{{some-random-string}}.{{location}}.azurecontainerapps.io/
    
  5. Navigate to the client app URL, log-in to the app and enter prompts like:

    Give me list of to do.
    Set "meeting at 1pm".
    Give me list of to do.
    Mark #1 as completed.
    Delete #1 from the to-do list.
    

    NOTE: You might not be asked to login, if you've set the USE_LOGIN value to false.

  6. Clean up all the resources deployed.

    azd down --force --prune
    

Resources

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Openai MCP Agent Dotnet

How do I install Openai MCP Agent Dotnet?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Openai MCP Agent Dotnet safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Openai MCP Agent Dotnet still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.