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.

DiffuGen is an advanced local image generation tool that integrates the MCP protocol, supports multiple AI models (including the Flux and Stable Diffusion series), and can directly generate high-quality images in the development environment. It provides flexible configuration options, multi-GPU support, and can be integrated with multiple IDEs through the MCP protocol. It also provides an OpenAPI interface for external calls.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

The Higress OPS MCP Server is a service implementation based on the Model Context Protocol (MCP) for configuring and managing the Higress gateway. The project also provides an MCP client based on LangGraph and LangChain MCP Adapters, which interacts with the Higress MCP Server through a proxy flow architecture.

Overview: This README.md file provides an overview of the MCP protocol and its components, including Hosts, Clients, Servers, local data sources, and remote services. It also demonstrates how to create a GitHub MCP Server to search for repositories, issues, and create new issues. In addition, it includes an example of integrating the MCP protocol with an SQLite database.

This project provides a set of tools for crawling website content and generating Markdown documents. It also implements semantic search for documents through the MCP server and supports integration with tools such as Cursor.

AI Expert Workflow MCP is a model context protocol server based on the OpenRouter API. Through three AI expert roles of product manager, UX designer, and software architect, it provides a complete workflow solution from product planning to technical implementation. The project supports independent generation of PRD documents and can also be integrated with Task Master for task management.

An Apple Mail email management server based on the Model Context Protocol, providing the ability for an AI assistant to access Apple Mail through natural language. It includes functions such as email reading, searching, organizing, composing, and managing, and also contains professional email management expert skills.

YARR is a self-hosted media technology stack server based on the Model Context Protocol (MCP), which enables intelligent automation and natural language control through LLM and also supports traditional API access.

This project is a weather service server based on the MCP protocol. It provides weather alert and forecast query functions by integrating the U.S. National Weather Service API, and also includes system tool support, which can be seamlessly integrated with MCP clients such as Claude.

MCP-Nhost is a protocol server that provides a unified management interface for Nhost cloud projects. It supports operations such as project configuration, data query, and permission management through GraphQL, and also has local development support functions.

The TRELLIS Blender plugin integrates advanced text/image - to - 3D model generation capabilities into Blender, supports generating textured 3D meshes from text or images, and provides detail adjustment functions. The plugin also integrates the MCP service and can communicate with tools such as Cursor/Windsurf.

Volatility3 MCP Server is a tool that connects MCP clients with the Volatility3 memory forensics framework. Through a natural language interface, non-experts can also conduct professional memory forensics analysis. It supports functions such as malware detection and process inspection for Windows and Linux memory dumps.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing through the MCP Inspector, and integration into the Claude desktop application to invoke mathematical tools. Finally, it also provides a complete process for deploying to Cloudflare.

This analysis report summarizes the most interesting MCP (Model Context Protocol) servers discussed on the X platform on March 19, 2025, focusing on their practicality in AI - driven workflows. Through discussions and blog posts on the X platform, the report identifies the most popular and recommended MCP servers, including Reddit, Notion, Google Sheets, Gmail, and Discord, which are favored for their automation capabilities and ease of use. In addition, servers with specific functions such as SendAI Kit and Dolphin - MCP, as well as pre - built servers provided by Anthropic, are also mentioned.

Furikake is an easy-to-use local CLI and API tool for managing and executing MCP (Modular Computing Platform) services. It supports downloading MCP servers from GitHub, automatically detecting configuration files, providing full CLI functionality, supporting Typescript and Javascript MCPs, and planning to support Python. The tool also provides HTTP API routes, process status management (via PM2), log viewing, etc., aiming to simplify MCP management and operation.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection and testing through the MCP inspector, and integration into the Claude desktop application to call mathematical tools. Finally, it also provides a complete process for deploying to Cloudflare and remote connection.

ToolChat is a tool for interacting with large language models (LLMs) via MCP servers, supporting the configuration of multiple tool servers and the invocation of specific functions, and can also handle multimodal input such as images and documents.

LSD MCP is an updated MCP server designed to effectively utilize dynamic tools (called 'trips') and integrate with the LSD platform through its SDK. It supports authentication via configuration files or environment variables and can be run from source code or used through the MCP registry (such as Pulse). The project also demonstrates how to extend functionality through LSD and TypeScript.

The Data MCP Server is a toolset that provides web page scraping, structured data extraction, and crawling functions, and also supports multiple browser proxy tools such as OpenAI CUA and Claude Computer Use.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection and testing through the MCP Inspector, and integration into the Claude desktop application to use mathematical tools. Finally, it also provides a complete process for deployment to Cloudflare and remote connection.

The MCP Yahoo Finance Server is a tool based on the Yahoo Finance API for obtaining real-time stock data, company information, and historical price data. It integrates the Multi-Client Protocol (MCP) framework to provide seamless communication between clients and the server, and includes a web UI based on FastAPI and DaisyUI, supporting user interaction through an intuitive interface. The project also integrates Azure OpenAI for natural language query processing.

The UniProt MCP Server is a service that provides protein information queries. It supports obtaining protein names, functional descriptions, sequences, etc. through UniProt numbers, and also supports batch queries and caching functions.

An extension that integrates the Linear project management tool into the Zed editor, supporting issue creation, comment management, project tracking, etc. through the MCP server, and also supporting simultaneous operation of multiple workspaces.

This project builds an AI system based on Nasdanika capabilities, focusing on operating on resource collections (interconnected models). It describes model elements and their relationships from multiple angles through the 'narrator' processor, and uses embeddings and vector storage to implement semantic search and RAG (Retrieval - Augmented Generation). It also supports the chat completion functions of OpenAI and Ollama.

Overview: The README.md file provides an overview of the Model Context Protocol (MCP) Server, detailing its components and functions. It explains how MCP enables AI automation through a standardized protocol and connects hosts, clients, servers, local data sources, and remote services. The document also describes the evolution from basic AI chats to advanced AI agents capable of performing automated tasks.

Anyquery is an SQLite - based SQL query engine that supports SQL queries on files, databases, and various applications (such as Apple Notes, Notion, etc.), and extends functionality through plugins. It also supports connecting LLMs (such as ChatGPT) as a data access interface and can run as a MySQL server.

VIPER is a powerful and flexible red team platform that integrates core tools and functions required for adversary simulation and red team operations. It supports multi-platform operations, has a rich set of built-in modules, allows for custom extensions, and features automated workflows. It also provides a user-friendly interface and LLM intelligent agent support.