# Protocol integration

A project that implements Server-Sent Events (SSE) based on the FastAPI framework, integrating the Model Context Protocol (MCP) function and providing a standardized interface for AI models to interact with external tools.

Scraper.is MCP is a web scraping tool designed for AI assistants. It is integrated through the Model Context Protocol, supporting content extraction, screenshot capture from any website, and returning data in multiple formats.

X-Post MCP is an integration tool that enables AI models to directly publish content to the X platform (formerly Twitter) via the Model Context Protocol (MCP). It includes client and server components, supporting AI-generated content and automatic handling of publishing restrictions.

MCPHub is a hybrid web/extension application for managing Model Context Protocol (MCP) servers, providing server management functions similar to apt/pip, including a modern web interface and secure local system integration.

The mpd - mcp - server is a service that integrates the MPD music player with the MCP protocol, providing music playback and playlist management functions.

MineMCP is a Minecraft Paper plugin that implements the Model Context Protocol (MCP) server, allowing AI agents to control and monitor a Minecraft 1.21 server via HTTP, providing functions such as world operation, command execution, file access, and server information query.

The TKU-MCP project connects TronClass and Claude AI through the MCP protocol to achieve interactive functions.

The CrewAI MCP Adapter is a Python library that extends the CrewAI adapter ecosystem by integrating the Model Context Protocol (MCP), providing comprehensive support for custom agent and tool development.

This is a custom AI tool demonstration project based on Cloudflare Workers and the MCP protocol, which can be integrated with AI assistants such as Claude and Cursor to expand AI functions.

A model context protocol server designed for Home Assistant, integrating with the Claude desktop client through a custom component.

Awesome MCP Servers is a carefully curated collection of MCP (Model Context Protocol) servers to extend the capabilities of large language models (LLMs). This project lists various MCP server implementations by function, covering multiple professional domains such as databases, fintech, and knowledge memory, and provides development framework resources.

A Gmail email management server based on the Model Context Protocol (MCP), supporting searching, reading, deleting, and sending emails through an AI agent. It needs to be used with a voice interaction client.

A working demonstration project of the Model Context Protocol (MCP) integrated with Google Gemini, including configuration and operation guides for the server and client.

A project that implements Server-Sent Events (SSE) based on the Starlette framework, integrates the Model Context Protocol (MCP), and provides a standard interface for AI models to interact with external tools.

This project demonstrates how future DevOps engineers can use the MCP and A2A protocols to simplify workflows, improve efficiency, and automate complex tasks by installing Nginx in three ways: manual simulation, MCP, and A2A.

Room MCP is a command-line tool based on the Model Context Protocol (MCP) for creating and managing virtual rooms in the Room protocol, enabling AI agents such as Claude to collaborate with other agents in a P2P space to complete tasks.

An e - commerce demonstration application based on the Model Context Protocol (MCP), built with Next.js and TypeScript, integrating the FakeStore API, demonstrating the application of MCP in e - commerce scenarios.

MUXI.ai is an open-source framework for multi-AI-agent systems, offering persistent memory, standardized communication protocols, and thought chain tracking. It supports multiple interface integrations and aims to provide a modular and scalable platform for developers to build advanced AI applications.

This project is a development environment integrating the ModelContextProtocol (MCP) SDK and servers. It manages the Python and TypeScript SDKs and officially maintained servers through Git sub - modules, aiming to provide basic context and tool support for developing new MCP servers.

This project demonstrates the application of the Model Context Protocol (MCP), enabling seamless integration between clients and servers, supporting CRUD operations and database interactions, and providing context - aware capabilities for AI applications.

An extension that provides Model Context Protocol (MCP) support for the CodeMirror editor, implementing auto - completion and interactive functions for resource mentions and prompt commands.