mcp-golang is an unofficial Go implementation of the Model Context Protocol library, supporting the rapid construction of MCP servers and clients, and providing features such as type safety, low code volume, modularity, and two-way communication.

Sketch Context MCP is a model context protocol server used to integrate Sketch design files with IDEs such as Cursor, enabling an AI - driven workflow from design to code, and supporting real - time two - way communication and design element operations.

JupyterMCP is a tool that integrates Jupyter Notebook with Claude AI via the Model Context Protocol (MCP). It supports functions such as bidirectional communication, cell operations, and code execution, and is only compatible with Jupyter Notebook version 6.x.

A CLI tool built on Rust to assist with code-related tasks, supporting autonomous exploration of the codebase, file reading and writing, working memory management, file summarization, and interactive communication, and can run as an MCP server.

MCP Mediator is a Java - based implementation of the Model Context Protocol (MCP) mediator, providing seamless integration between MCP clients and servers, supporting efficient communication and tool execution. The project includes core modules, examples, and various service integrations, supports quickly converting existing code into MCP services through annotations, and has the ability to proxy multiple servers.

An MCP server that enables real - time communication between Claude Code instances, coordinating question - and - answer conversations between different instances through a TCP central hub.

The Vonage AI Code Assist MCP Server is a tool based on the FastMCP framework that helps developers quickly query Vonage API documentation and integrate communication functions through AI.

This project is a remote Model Context Protocol (MCP) server based on Node.js and TypeScript, deployed in Azure Container Apps, used to implement standardized communication between AI models and tools. It provides a quick start guide, supports local development, GitHub Codespaces, and Azure deployment, and includes SSE protocol implementation, SQLite database integration, and tool interaction features.

This is a generative AI course project for beginners, providing a complete learning path from environment setup to practical application. The project includes 6 concept courses and 6 programming courses, using the Azure OpenAI service for practical operations. Learners can quickly start through GitHub Codespaces or choose to install the Python environment locally. The project emphasizes the secure management of API keys and provides detailed setup guides. In addition, learners are encouraged to participate in open-source contributions, and an AI community communication platform is provided.

MCP server development guide, introducing how to build a standardized communication protocol server for large language models (LLMs), including core architecture, function implementation, and example code.

JupyterMCP is an integration project that connects Jupyter Notebook with Claude AI, enabling bidirectional communication via the Model Context Protocol and supporting AI-assisted code execution, data analysis, and visualization operations.

A TypeScript - based MCP server for fetching random LGTM (Looks Good To Me) images, suitable for developer communication scenarios such as code reviews.