Aspire.MCP.Sample

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Aspire.MCP.Sample

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Sample MCP Server and MCP client with Aspire

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# Aspire.MCP.Sample

Sample MCP Server and MCP client using Aspire.

## Overview

This sample demonstrates a Model Context Protocol (MCP) Server and client setup using Aspire. It showcases how to establish and manage MCP communication, using C# in a structured Aspire environment.

### Quick Demo

Check out this 5-minute video overview to see the project in action.

[![5-Minute Overview of the Project](https://img.youtube.com/vi/2holzbob1_I/0.jpg)](https://www.youtube.com/watch?v=2holzbob1_I)

Check out this 5-minute video overview to see how to deploy the solution to Azure, and how to consume the deployed MCP Server in Azure from Visual Studio Code.

[![5-Minute Overview on how to deploy the solution to Azure](https://img.youtube.com/vi/subvIWlrzu4/0.jpg)](https://www.youtube.com/watch?v=subvIWlrzu4)

## Features

- **Aspire Integration:** Uses Aspire for containerized orchestration and service management.
- **MCP Server:** Implements an MCP server to manage client communication.
- **MCP Client:** Sample Blazor Chat client demonstrating how to connect and communicate with the MCP server.
- **Model Selection:** The Chat Client can use LLMs from Azure AI Foundry, Ollama or GitHub models. The selected model must support function calling to be able to call the MCP server functions.
- **Function Calling:** Demonstrates how to call functions from the MCP server using the selected model.
- **Tool Result:** Displays the result of the function call in the chat interface.
- **Azure Deployment:** The project can be easily deployed to Azure using `azd` commands.

## Getting Started

### Prerequisites

- .NET SDK 9.0 or later  
- Visual Studio 2022 or Visual Studio code
- LLM or SLM that supports function calling.
  - [Azure AI Foundry](https://ai.azure.com) to run models in the cloud. IE: gpt-4o-mini
  - [GitHub Models](https://github.com/marketplace?type=models) to run models in the cloud. IE: gpt-4o-mini
  - [Ollama](https://ollama.com/) for running local models. Suggested: phi4-mini, llama3.2 or Qwq

### Run locally

1. Clone the repository:

1. Navigate to the Aspire project directory:

```bash
   cd .\src\McpSample.AppHost\
   ```

1. Run the project:

```bash
   dotnet run
   ```

1. In the Aspire Dashboard, navigate to the Blazor Chat client project.

![Aspire Dashboard](https://raw.githubusercontent.com/elbruno/Aspire.MCP.Sample/main/images/20AspireDashboard.png)

1. In the Chat Settings page, define the model to be used. You choose to use models in Azure AI Foundry (suggested gpt-4o-mini), GitHub Models or locally with ollama (suggested llama3.2)

![Chat Settings](https://raw.githubusercontent.com/elbruno/Aspire.MCP.Sample/main/images/25ChatSettings.png)

1. Now you can chat with the model. Everytime that one of the functions of the MCP server is called, the `Tool Result` section will be displayed in the chat.

![Chat Demo](https://raw.githubusercontent.com/elbruno/Aspire.MCP.Sample/main/images/28ChatDemo.png)

## Architecture Diagram

![Architecture Diagram](https://raw.githubusercontent.com/elbruno/Aspire.MCP.Sample/main/images/30ArchitecturalDiagram.png)

## GitHub Codespaces

**(WIP)**
- Codespaces configuration will be added soon.

## Deployment

Once you've opened the project in [Codespaces](#github-codespaces), or [locally](#run-locally), you can deploy it to Azure.

From a Terminal window, open the folder with the clone of this repo and run the following commands.

1. Login to Azure:

```shell
    azd auth login
    ```

1. Provision and deploy all the resources:

```shell
    azd up
    ```

It will prompt you to provide an `azd` environment name (like "aspiremcp"), select a subscription from your Azure account, and select a location.

1. When `azd` has finished deploying, you'll see the list of resources created in Azure and a set of URIs in the command output.

1. Visit the **blazorchat** URI, and you should see the **MCP Chat App**! 🎉

***Note:** The deploy files are located in the `./src/McpSample.AppHost/infra/` folder. They are generated by the `Aspire AppHost` project.*

## Contributing

Contributions are welcome! Feel free to submit issues and pull requests.

## License

This project is licensed under the MIT License.

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