MCP Chat Desktop App

This desktop application utilizes the MCP (Model Context Protocol) to seamlessly connect and interact with various Large Language Models (LLMs). Built on Electron, the app ensures full cross-platform compatibility, enabling smooth operation across different operating systems.

The primary objective of this project is to deliver a clean, minimalistic codebase that simplifies understanding the core principles of MCP. Additionally, it provides a quick and efficient way to test multiple servers and LLMs, making it an ideal tool for developers and researchers alike.

This project originated as a modified version of Chat-UI, initially adopting a minimalist code approach to implement core MCP functionality for educational purposes.

Through iterative updates to MCP, I received community feedback advocating for a completely new architecture - one that eliminates third-party CDN dependencies and establishes clearer modular structure to better support derivative development and debugging workflows.

This led to the creation ofTool Unitary User Interface, a restructured desktop application optimized for AI-powered development. Building upon the original foundation, TUUI serves as a practical AI-assisted development paradigm, if you're interested, you can also leverage AI to develop new features for TUUI. The platform employs a strict linting and formatting system to ensure AI-generated code adheres to coding standards.

- TUUI GitHub Repository
- TUUI Architecture
- TUUI Official Website

Please modify theconfig.jsonfile located insrc/main.
Ensure that thecommandandpathspecified in theargsare valid.

Please ensure thatNode.jsis installed on your system.
You can verify this by runningnode -vandnpm -vin your terminal to check their respective versions.

{ "chatbotStore": { "apiKey": "", "url": "https://api.aiql.com", "path": "/v1/chat/completions", "model": "gpt-4o-mini", "max_tokens_value": "", "mcp": true }, "defaultChoiceStore": { "model": [ "gpt-4o-mini", "gpt-4o", "gpt-4", "gpt-4-turbo" ] } }

You can replace the 'url' if you have direct access to the OpenAI API.

Alternatively, you can also use another API endpoint that supports function calls:

{ "chatbotStore": { "apiKey": "", "url": "https://dashscope.aliyuncs.com/compatible-mode", "path": "/v1/chat/completions", "model": "qwen-turbo", "max_tokens_value": "", "mcp": true }, "defaultChoiceStore": { "model": [ "qwen-turbo", "qwen-plus", "qwen-max" ] } }

{ "chatbotStore": { "apiKey": "", "url": "https://api.deepinfra.com", "path": "/v1/openai/chat/completions", "model": "meta-llama/Meta-Llama-3.1-70B-Instruct", "max_tokens_value": "32000", "mcp": true }, "defaultChoiceStore": { "model": [ "meta-llama/Meta-Llama-3.1-70B-Instruct", "meta-llama/Meta-Llama-3.1-405B-Instruct", "meta-llama/Meta-Llama-3.1-8B-Instruct" ] } }

You can build your own desktop application by:

This CLI helps you build and package your application for your current OS, with artifacts stored in the /artifacts directory.

For Debian/Ubuntu users experiencing RPM build issues, try one of the following solutions:

-

Editpackage.jsonto skip the RPM build step. Or

Installrpmusingsudo apt-get install rpm(You may need to runsudo apt updateto ensure your package list is up-to-date)

On windows, npx may not work, please refer my workaround:ISSUE 101

{ "mcpServers": { "filesystem": { "command": "node", "args": [ "node_modules/@modelcontextprotocol/server-filesystem/dist/index.js", "D:/Github/mcp-test" ] } } }

Please ensure that the provided path is valid, especially if you are using a relative path. It is highly recommended to provide an absolute path for better clarity and accuracy.

By default, I will installserver-everything,server-filesystem, andserver-puppeteerfor test purposes. However, you can install additional server libraries or usenpxto utilize other server libraries as needed.

Generally, after executingnpm installfor the entire project, the total size of files in thenode_modulesdirectory typically exceeds 500MB.

If the installation process stalls at less than 300MB and the progress bar remains static, it is likely due to a timeout during the installation of the latter part, specifically Electron.

This issue often arises because the download speed from Electron's default server is excessively slow or even inaccessible in certain regions. To resolve this, you can modify the environment or global variableELECTRON_MIRRORto switch to an Electron mirror site that is accessible from your location.

When using electron-builder to package files, it automatically downloads several large release packages from GitHub. If the network connection is unstable, this process may be interrupted or timeout.

On Windows, you may need to clear the cache located under theelectronandelectron-builderdirectories withinC:\Users\YOURUSERNAME\AppData\Localbefore attempting to retry.

Due to potential terminal permission issues, it is recommended to use the default shell terminal instead of VSCode's built-in terminal.

Integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.

An MCP server client for the Agent-to-Agent (A2A) protocol, enabling LLMs to interact with A2A agents.

An AI interaction tool with an advanced UI for the Model Context Protocol (MCP).

An advanced AI companion with emotional intelligence and vector database integration.

A cross-platform AI chat client supporting desktop, mobile, and web platforms.

Enables real-time communication between AI assistants and users via a web-based chat interface.

Connects an AI agent to a LINE Official Account using the LINE Messaging API.

Multilingual intelligence + memory + safety + voice layer for autonomous AI agents

Interact with RetellAI's voice services to create conversational voice AI.