Sweee2012/MCP-Server
3.1
If you are the rightful owner of MCP-Server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This project is an implementation of an MCP (Model Context Protocol) server, enabling AI models to interact with real-world tools and APIs.
🧠 MCP Server Project
This project is an implementation of an MCP (Model Context Protocol) server, built by following the YouTube tutorial: Set Up MCP Server In Python. The server allows AI models like ChatGPT to interact with real-world tools and APIs by providing a standardized communication interface.
📌 Project Overview
- Technology Used: Python
- Purpose: To set up a local MCP server that enables AI models to interact with external APIs and tools.
🚀 Features Implemented
- MCP server setup using Python
- Virtual environment and dependency management
- Environment-based configuration with
.envandconfig.yaml - Tool integration for extending AI capabilities
- Local server testing and endpoint validation
- Basic logging and error handling
📚 What I Learned
- Setting up and running a backend server using Python
- Understanding how MCP connects LLMs to external data and tools
- Using virtual environments and managing Python dependencies
- Writing modular and extendable server code
- Testing endpoints using tools like Postman
- Configuring the server with environment variables
- Logging and handling errors for stable server performance