The Internet Search MCP is a service encapsulated based on Tencent Cloud's Internet Search API, providing intelligent search capabilities with millisecond - level response and minute - level updates, supporting multiple functions such as natural result retrieval and multi - modal VR cards, helping developers quickly integrate Internet search capabilities.

This is a server based on the Model Context Protocol (MCP) that allows AI assistants to control the Unreal Engine game engine through the remote control API, enabling game development automation. It supports various functions such as asset management, actor control, editor operations, level management, animation physics, visual effects, and Sequencer control.

FastMCP - Scala is a high - level, developer - friendly library based on Scala 3 for building Model Context Protocol (MCP) servers. It provides ZIO effect handling, annotation - driven APIs, automatic JSON schema generation, and seamless integration with the Java MCP SDK.

The Volume Wall Detector MCP Server is a stock trading analysis tool based on the Model Context Protocol, providing functions such as real-time trading volume analysis, price level detection, and trading imbalance tracking, and supporting access from multiple MCP clients.

An XRP Ledger service server based on the Model Context Protocol (MCP), providing a unified interface for AI agents to interact with the XRPL MainNet, TestNet, and DevNet, supporting various blockchain services such as account management, token operations, NFT functions, DID, and AMM.

LetzAI MCP is a model context protocol for image generation. Integrated through the Claude desktop application, it supports generating and upscaling images based on prompts.

The XRPL MCP Service is a model context protocol server based on FastAPI, providing comprehensive XRPL ledger interaction functions, including account query, transaction operations, decentralized exchange, and NFT management services.

An AI research assistant tool based on Node.js and the Gemini API. It uses Firecrawl for web data scraping, leverages the Gemini large - model for in - depth language understanding and report generation, supports iterative in - depth research, and can be integrated with the MCP protocol.

Vulcan File Ops is a high - performance file operation server based on the Model Context Protocol (MCP) that can transform desktop AI assistants (such as Claude Desktop, ChatGPT Desktop, etc.) into powerful development partners. It provides secure file reading and writing, batch operations, document processing, image analysis, and Shell command execution functions. It features enterprise - level security controls, dynamic directory registration, and intelligent tool filtering, allowing users to have full control over local file system access.

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage. It supports various operations, including reading, writing, deleting, and management functions, such as listing buckets and objects, getting metadata, creating presigned URLs, and using AI to describe object content. It has flexible configuration and can enable operations at different permission levels through flags.

Omni Server is a Python server based on the MCP framework that helps developers learn and implement MCP applications, providing a modular structure and support for Claude Desktop integration.

The HR MCP Server is an HR operation service based on the Model Context Protocol, providing functions such as employee data query, leave management, and multilingual translation for Claude Desktop.

This is a Python - based custom MCP (Model Context Protocol) server demonstration project, aiming to show how to build a server that uses a custom protocol for communication. It is suitable for learning network programming and protocol design.

This is an experimental project for MCP servers based on TypeScript, serving as a learning resource and testing platform, supporting integration with Calude Desktop and Cursor IDE. The project is derived from tutorials and has expanded more functions and tools, providing a modular design and an extensible sandbox environment.

This project is an experimental platform for MCP servers based on TypeScript, used for learning and testing the integration with Calude Desktop and Cursor IDE. It extends tutorial examples, provides modular design and extensible functions, and is suitable for developers to explore MCP server development.