lobehub/lobehub
LobeHub is a platform that enables multi-agent collaboration and human-agent co-evolution by treating AI agents as units of work, providing tools to build, manage, and collaborate with AI agent teams seamlessly.
Awesome MCP › Agent Orchestration Platforms
Ejb503/multimodal-mcp-client
The project "multimodal-mcp-client" is a modern voice-controlled AI client that leverages the Model Control Protocol (MCP) and Google Gemini to enable multimodal, voice-first AI workflows and extensible AI orchestration. It is designed to transform how users interact with AI systems by combining natural speech input with multimodal capabilities, including text, voice, and visual inputs. The client supports both custom MCP servers and Systemprompt MCP servers, allowing flexibility in configuration and deployment. Systemprompt MCP servers can be installed easily through the user interface with a free API key, while custom servers require manual configuration. The application is built using a modern tech stack including Vite, React, TypeScript, and NextUI, ensuring a robust developer experience with features like type safety, hot module replacement, and comprehensive testing. It is optimized for real-time voice synthesis, enabling instant audio responses to user commands. The extensible tooling system of MCP allows users to add custom tools and automate complex AI workflows through voice commands, supporting multi-step interactions with state management. This project is particularly suited for developers interested in building voice-controlled AI applications that utilize multimodal AI capabilities. It emphasizes a voice-first design, making AI interaction more intuitive and natural. The client is currently in early access and development, with compatibility tested on Chrome across Linux, Windows, and MacOS platforms. The project encourages community engagement through Discord and GitHub for support and feedback. Overall, the multimodal-mcp-client offers a cutting-edge interface for AI interaction that integrates voice control, multimodal input processing, and extensible AI workflow orchestration via the Model Control Protocol, making it a valuable tool for advancing voice-first AI applications.
https://github.com/Ejb503/multimodal-mcp-client
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