Smart Tree is an ultra-fast directory visualization tool developed based on Rust. It is 10 - 24 times faster than the traditional tree command. It has features such as AI - optimized output, quantum compression, and intelligent search, and also focuses on environmental protection and energy conservation.

A computer vision server implemented based on Ultralytics and the MCP protocol, supporting functions such as object detection, image segmentation, and pose estimation

An MCP server that combines Claude Code and Google Gemini AI to achieve in - depth code analysis through multi - model collaboration. Claude is good at local context operations and CLI workflows, while Gemini uses its ultra - large context window for distributed system debugging and long - trace analysis.

A Solana blockchain Token exchange MCP server based on the Jupiter Ultra API, supporting optimal price routing and transaction execution.

Ultra MCP is a multi-model AI protocol server that integrates AI models such as OpenAI and Gemini through a unified MCP interface, providing support for Claude Code and Cursor. It features zero-configuration installation, a built-in usage analysis dashboard, and a modern web interface.

Ultra-MCP-Servers is an open-source project that enables users to create and manage their own Model Context Protocol (MCP) servers. It offers a variety of tool and service integrations, such as YouTube transcription, cloud storage, web crawlers, etc., and encourages community contributions.

Sequential Thinking Ultra is an advanced sequential thinking server based on the MCP protocol, integrating the Ultra Think methodology and providing structured problem - solving capabilities. Core functions include step - by - step processing, quality validation, bias detection, and resource management, supporting automatic query rewriting and meta - reasoning checkpoints. It is suitable for step - by - step analysis of complex problems and optimized decision - making.

An MCP server based on the recursive language model pattern, which processes ultra - large - scale contexts (over 10 million tokens) through chunking, sub - queries, and local inference, supporting automatic analysis, code execution, and security filtering.