What is Aimcpsample

AIMCPSample is a cross-platform example application that demonstrates how to use voice input to interact with AI via the MCP tool. It is built with .NET MAUI Blazor and operates on Android, iOS, and Windows devices.

Use cases

Use cases include automating IT system management, providing customer support through voice queries, and enhancing user interaction with applications via voice commands.

How to use

To use AIMCPSample, install the application on your device, ensure you have the .NET 9 SDK installed, and use your device’s microphone to ask questions or give commands to the AI assistant.

Key features

Key features include voice input for interaction, AI integration through the MCP tool, a chat interface for conversation history, and cross-platform compatibility across Android, iOS, and Windows.

Where to use

AIMCPSample can be used in various fields such as customer service, IT management, and any domain requiring voice-activated AI assistance to streamline operations.

AIMCPSample

AIMCPSample is a cross-platform example application demonstrating how to use voice input to interact with AI via the MCP tool. The project is built with .NET MAUI Blazor and runs on Android, iOS, and Windows devices.

Project Purpose

This project aims to modernize the mainstream traditional system architecture, where the frontend UI (mobile: iOS/Android, Windows desktop, etc.) communicates with the application server via APIs, which in turn interacts with the database server.
With AIMCPSample, an AI assistant interface is added to the frontend. This AI assistant can automate operations and management of existing IT systems by interacting with an AI model, which then calls an additional MCP server. The MCP server, in turn, communicates with the application server API, enabling intelligent and automated workflows.

Architecture Comparison

Traditional System Architecture

flowchart LR
  subgraph Frontend_UI
    A1[Mobile iOS/Android]
    A2[Windows Desktop]  
  end
  A1 & A2 --Token--> B[Application Server API]
  B --> C[Database Server]

With AI Assistant and MCP Server

  flowchart LR 
    subgraph Frontend_UI 
      A3[AI Assistant Interface] 
      A1[Mobile iOS/Android] 
      A2[Windows Desktop] 
    end 
    subgraph New_Features[" "]
      A3 --Token--> D[AI Model] 
      D --> E[MCP Server]                     
    end     
    style New_Features stroke:#28a745,stroke-width:3px 
    style A3 stroke:#28a745,stroke-width:3px
    E --> B[Application Server API]
    B --> C[Database Server] 
    A1 & A2 --Token--> B  

Features

• 🎤 Voice Input: Use your device’s microphone to ask questions by voice.
• 🤖 AI Integration: Interact with AI services using the MCP tool.
• 💬 Chat Interface: View conversation history and responses.
• 📱 Cross-Platform: Works on Android, iOS, and Windows (via .NET MAUI Blazor).

Getting Started

Prerequisites

• .NET 9 SDK
• Visual Studio 2022 (with MAUI and Blazor workloads)
• A supported device or emulator (Android, iOS, or Windows)

Build and Run

1. Clone the repository:

2. Open the solution in Visual Studio 2022.

3. Restore NuGet packages and build the solution.

4. Run the project on your preferred platform (Android, iOS, or Windows).

Usage

• Click the microphone button to start recording your question.
• Click the checkmark to stop recording and send your voice input to the AI.
• View AI responses in the chat area.
• You can also type your question manually.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

• .NET MAUI
• Blazor
• Bootstrap Icons

Note: This is a sample project for educational and demonstration purposes.