
flutter-mcp-ai-chat
演示如何使用AI实现MCP客户端。
3 years
Works with Finder
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Flutter + dart_mcp + AI Desktop App Demo
This is a Flutter-based project designed to manage and configure MCP (Multi-Connection Protocol) servers. The application provides a user-friendly interface for managing API keys, configuring server settings, and handling custom environment variables. The application uses the dart_mcp package to facilitate communication with MCP servers.
Screenshots
Features
-
API Key Management: Save, clear, and manage API keys securely using
SharedPreferences
. -
MCP Server Management:
- Add, edit, and delete MCP server configurations.
- Toggle server connection states.
- Apply changes to synchronize server connections.
- Custom Environment Variables: Define and manage custom environment variables for each server.
- Display Settings: Toggle the visibility of code blocks in chat messages.
Installation
To run this project, ensure you have Flutter SDK installed on your machine. Follow the guidelines.
-
Clone the repository:
git clone git@github.com:leehack/flutter-mcp-ai-chat.git cd flutter-mcp-ai-chat
-
Install dependencies:
flutter pub get
-
Run the application:
flutter run
Usage
API Key Management
The API key is necessary to talk to the Gemini model. You can manage your API key through the settings screen. The key can be created from the Google AI Studio.
- Navigate to the Settings screen.
- Enter your API key in the provided text field.
- Click Save Key to store the key locally.
- Use the Clear Key button to remove the stored key.
MCP Server Management
The MCP server management feature allows you to add, edit, and delete server configurations. You can also toggle the connection state of each server. At the moment, the application supports only the stdio based servers. For the example of MCP servers you can find from https://github.com/modelcontextprotocol/servers
- Add a new server by clicking the Add New MCP Server button.
- Fill in the server details, including name, command, arguments, and custom environment variables.
- Save the server configuration.
- Toggle the server's connection state using the switch in the server list.
- Apply changes to synchronize server connections.
Custom Environment Variables
- While adding or editing a server, use the Custom Environment Variables section to define key-value pairs.
- Add new variables using the Add Variable button.
- Remove variables using the delete icon next to each variable.
Contributing
Contributions are welcome! Please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bugfix.
- Commit your changes and push them to your fork.
- Submit a pull request with a detailed description of your changes.
License
This project is licensed under the MIT License. See the LICENSE file for details.
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Reviews

user_wy0XwIq0
flutter-mcp-ai-chat by leehack is an impressive tool for integrating AI-driven chats in Flutter apps. It provides a seamless experience and easy-to-use interfaces for developers. The setup is straightforward, making it a top choice for enhancing app interactivity. Highly recommended for anyone looking to add intelligent chat capabilities to their applications.

user_J4u4yaKH
As a dedicated user of flutter-mcp-ai-chat by leehack, I must say this app is revolutionary in AI-driven conversations. The seamless integration and user-friendly interface make it a top choice for anyone looking to enhance their communication tools. Highly recommend giving it a try!

user_2HnpBYc5
I have been using flutter-mcp-ai-chat by leehack, and it has significantly enhanced my app development experience. The integration is smooth, and the AI functions are impressively intuitive. Highly recommend for anyone looking to elevate their chat app capabilities.

user_qwVeF8Is
The flutter-mcp-ai-chat by leehack is an impressive tool for developers looking to integrate AI-driven chat functionalities into their applications. The seamless integration and user-friendly interface make it a top choice. Highly recommend!

user_K05nwsks
I've been using flutter-mcp-ai-chat by leehack and it's been a fantastic experience. The integration is seamless and the AI responses are impressively accurate and engaging. It has significantly enhanced the user interaction in my applications. Highly recommend this for anyone looking to add robust chat functionality without extra hassle!