TUUI is a desktop client for the Model Context Protocol (MCP), designed to simplify AI adoption and orchestrate diverse LLM APIs. It targets developers and power users seeking a unified interface for interacting with multiple AI models, offering accelerated tool integration and cross-vendor LLM management.

How It Works

TUUI leverages the Model Context Protocol (MCP) to provide a standardized way to interact with various Large Language Models (LLMs). It acts as a central hub, allowing users to dynamically configure and manage connections to different LLM providers (e.g., ChatGPT, Claude, Qwen) through a JSON configuration. This approach facilitates seamless switching and utilization of multiple LLMs within a single application.

Quick Start & Requirements

• Installation: Primarily through Node.js for NPX/NODE-based servers, Python with the UV library for UV/UVX-based servers, or Docker.
• Prerequisites: An LLM backend supporting tool/function calling (e.g., ChatGPT, Claude, Qwen, self-hosted). Node.js, Python, or Docker depending on the server type. macOS/Linux users may need to adjust MCP configuration.
• Configuration: LLM backend details are configured via llm.json or config.json, supporting single or multiple chatbot configurations.
• Documentation: TUUI.com, Getting Started, MCP Server Issue documentation.

Highlighted Details

• Accelerates AI tool integration via MCP.
• Orchestrates cross-vendor LLM APIs through dynamic configuration.
• Supports automated application testing and TypeScript.
• Features multilingual support and a basic layout manager.

Maintenance & Community

• Contributions are welcomed via pull requests.
• Code of Conduct and Contributing Guidelines are available.
• Issues can be reported via the GitHub repository.

Licensing & Compatibility

• The README does not explicitly state the license. Users should consult the project's repository for licensing details.

Limitations & Caveats

• MCP server connection issues, particularly ENOENT spawn errors on Windows and NVM on macOS, are noted as ongoing challenges, with some workarounds implemented but not universally resolved. OAuth auto-redirect is recommended to prevent authentication failures.