MCP Client Application
- agent-framework
A mcp client chat application built for learning purposes
About
What is MCP Client Application?
A desktop application for interacting with AI models via the Model Context Protocol (MCP). It runs on Windows, macOS, and Linux, and is built for developers and users who want secure, transparent tool execution alongside chat conversations with AI assistants.
How to use MCP Client Application?
Install Node.js 18+ and npm, then clone the repository and run npm install and npm dev to start the development server. In the application, navigate to the conversations page, click “New conversation”, and begin chatting. When an AI model requests a tool action, review the action and parameters, then approve or deny the request.
Key features of MCP Client Application
- Multi‑model support for Claude, GPT, and other LLMs via a unified interface
- Secure tool execution with user approval before any action is taken
- Real‑time streaming for fluid, responsive conversations
- Server management to register, configure, and connect MCP servers
- Conversation history to save and revisit chat sessions
- Secure vault for storing API keys and sensitive information
Use cases of MCP Client Application
- Enabling AI assistants to perform system actions with user confirmation
- Chatting with multiple LLM providers through a single, cross‑platform desktop interface
- Learning how to build MCP‑enabled applications with a practical, open‑source example
- Storing and managing API keys securely while interacting with AI models
FAQ from MCP Client Application
What AI models does MCP Client Application support?
It supports Claude, GPT, and other large language models through a unified interface using a driver pattern.
How does tool execution work?
The AI sends a tool execution request; you review the action and parameters, then approve or deny. The result is integrated back into the conversation.
What platforms are supported?
The application runs on Windows, macOS, and Linux, built with Electron.
Is MCP Client Application open source?
Yes, it is licensed under the MIT License.
What are the prerequisites for running MCP Client Application?
Node.js 18+ and an npm package manager are required.
Details
- Author
- regibyte
- GitHub stars
- 6
- Category
- agent-framework
- Repository
- regibyte/mcp-client-app
MCP Client Application
A desktop application for interacting with AI models via the Model Context Protocol (MCP), providing a powerful interface for chat conversations with tool execution capabilities.
What is MCP?
The Model Context Protocol (MCP) is a standardized communication protocol that enables AI models to request execution of tools and functions with user confirmation. This creates a secure and transparent environment for AI assistants to interact with your system while maintaining user control.
Features
- 🤖 Multi-model support: Connect to Claude, GPT, and other LLMs through a unified interface
- 🔧 Tool execution: Allow AI models to perform actions through a secure permission system
- 🔄 Real-time streaming: Experience fluid conversations with streaming responses
- 🔌 Server management: Register, configure and connect to MCP servers
- 💾 Conversation history: Save and revisit your chat sessions
- 🔐 Secure vault: Store sensitive information like API keys safely
Why Use MCP Client?
MCP Client demonstrates how to create applications that leverage the full potential of modern AI systems while maintaining appropriate security boundaries. It serves as both a practical tool and a learning resource for developers interested in building applications with AI capabilities.
Getting Started
Prerequisites
- Node.js 18+
- npm package manager
Installation
# Clone the repository
git clone git@github.com:RegiByte/mcp-client-app.git
cd mcp-client-app
Install dependencies
npm install
Start the development server
npm dev
Building for Production
# For Windows
npm build:win
For macOS
npm build:mac
For Linux
npm build:linux
Using the Application
Starting a Conversation
1. Open the application
2. Navigate to the conversations page
3. Click on "New conversation"
4. Start chatting!
Working with Tools
When an AI assistant needs to perform an action:
1. You'll see a tool execution request in the chat
2. Review the requested action and parameters
3. Approve or deny the request
4. See the results integrated back into the conversation
Architecture Overview
The MCP Client App is built with:
- Electron: For cross-platform desktop capabilities
- React: For the user interface
- TypeScript: For type-safe code
- Vercel AI SDK: For standardized AI model interactions
- Model Context Protocol: For secure and standardized tool execution
The application uses a driver pattern to support multiple LLM providers while maintaining a consistent interface.
Learning Resources
- MCP Protocol Documentation
- Vercel AI SDK Guide
- Building MCP-enabled Applications
- Tool Development Guide
Contributing
We welcome contributions to the MCP Client App! Please see our CONTRIBUTING.md for guidelines.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- The Anthropic team for Claude and MCP
- Vercel for the AI SDK
- The Electron community for the application framework
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_Project maintained by @RegiByte. For support, open an issue on the repository._
