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.

MCP Bridge is a lightweight, LLM-independent RESTful proxy for connecting to multiple Model Context Protocol (MCP) servers and exposing their functions through a unified REST API. It solves the problem that platforms such as edge devices, mobile devices, and web browsers cannot efficiently run MCP servers, and provides optional risk-based execution levels, including security controls such as standard execution, confirmation workflows, and Docker isolation.

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.

The Sleeper API MCP server is a Model Context Protocol service that provides access to data on the Sleeper fantasy football platform. It supports functions such as getting user information, league data, draft details, and player information, and can access read-only data without an API key.