This project is a tutorial for a custom calculator server based on the MCP protocol. It implements addition, subtraction, multiplication, and division functions through Python and integrates with the Claude desktop client to extend the capabilities of the AI assistant.

A practical demonstration tutorial on how to use MCP (Message Control Protocol) to add powerful tool extensions to AI agents.

This project is a Python tutorial practice on how to create an MCP server. You can add and manage the MCP server through the Claude command-line tool, and it supports testing and debugging of AI functions such as the ChromaDB vector database.

A step-by-step tutorial on demonstrating the functions of MCP (Message Control Protocol), showing how to use MCP to add powerful tool extensions to AI agents.

AI Tutor is an AI tutoring system for higher education based on MCP client/server and multi-agent collaboration. It supports Claude and OpenAI models and provides a flexible server configuration method.

Awesome MCP Servers is a structured and comprehensive list of MCP servers designed to enhance AI capabilities by providing access to local and remote resources. The project covers an introduction to the MCP protocol, clients, tutorials, server classifications, frameworks, tools, and community resources.

This project is a tutorial for developing an MCP server that retrieves Pokémon information through the PokéAPI. It aims to cultivate the ability of problem decomposition and logical reconstruction through programming practice, including 6 steps from basic concepts to actual deployment.

MCPLab is a collection project of server-client examples, code snippets, design patterns, and tutorials focused on the Model Context Protocol (MCP), aiming to help developers quickly build MCP-driven applications.

This project is a tutorial for building a Model Context Protocol (MCP) server based on Google's Gemini 2.0 model. It includes a complete code implementation, demonstrating how to enable AI models to seamlessly access external tools (such as the Brave Search API) through the MCP standard, and provides an example of a flexible architecture design.

This is an AI Development Assistant MCP Server project that provides intelligent coding assistance tools, including code architecture generation, UI screenshot analysis, and code review functions. It is mainly used for tutorial demonstrations rather than production environments.