ChatGPTNextWeb/NextChat
NextChat is a lightweight, privacy-focused AI assistant platform supporting multiple AI models and operating systems, with Model Context Protocol (MCP) support for enhanced AI interactions.
Awesome MCP › Desktop & Mobile Clients
AI-QL/chat-mcp
AI-QL/chat-mcp is a cross-platform desktop chat application designed to interface seamlessly with various Large Language Models (LLMs) using the Model Context Protocol (MCP). The application is built on Electron, ensuring compatibility across Linux, macOS, and Windows platforms. Its primary goal is to provide a clean and minimalistic codebase that simplifies understanding the core principles of MCP, making it an ideal tool for developers and researchers who want to test and develop with multiple LLM servers efficiently. The project originated as a modified version of Chat-UI, focusing on implementing core MCP functionality for educational purposes. It has since evolved based on community feedback to adopt a new architecture that eliminates third-party CDN dependencies and introduces a clearer modular structure. This restructuring supports derivative development and debugging workflows more effectively. The project also led to the creation of the Tool Unitary User Interface (TUUI), a restructured desktop application optimized for AI-powered development. Key features of AI-QL/chat-mcp include dynamic LLM configuration compatible with all OpenAI SDK-supported models, multi-client management for connecting to multiple servers using MCP configurations, and UI adaptability that allows the interface to be extracted for web use, maintaining consistent interaction logic across platforms. The application is licensed under Apache-2.0, allowing easy modification and building of custom desktop applications. Users can configure the application by modifying JSON configuration files to specify API endpoints, models, and other parameters. The project also provides detailed instructions for installation, usage, and troubleshooting common issues related to dependencies and network connectivity. Additionally, it supports multimodal input and advanced features like reasoning and LaTeX rendering. Overall, AI-QL/chat-mcp serves as a practical and educational tool for exploring and leveraging the Model Context Protocol in the context of large language models, facilitating both development and testing in a cross-platform environment.
https://github.com/AI-QL/chat-mcp
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