# Python Tools

An MCP server project that can be integrated into Claude Desktop to fetch the latest news from multiple cybersecurity websites, providing a simple API interface and an extensible architecture.

This tutorial details how to use Python to build a complete MCP (Model Context Protocol) server and client system, including the implementation of a client with a graphical interface. The MCP protocol is used for communication between language models and tool providers. The tutorial covers the entire process from environment setup, server implementation, client development to UI integration.

This is a project demonstrating how to create and test an MCP (Model Context Protocol) server, including environment setup, server creation, addition of tools and resources, and testing via the MCP Inspector and Claude Desktop.

This guide introduces how to build an MCP server using Python, enabling AI assistants to interact with external tools and data sources through the MCP Python SDK, including installation, quick server setup examples, testing, and deployment considerations.

A Python-based MCP server for guiding agents to execute tasks according to predefined structured workflows while maintaining execution flexibility.

A guide to building a weather server using the MCP SDK and the uv package manager

This tutorial demonstrates how to create an MCP server using Python and the official Microsoft MCP SDK, showing how to define tool functions that can be used by LLMs (such as models in ChatGPT or Open WebUI).

A comprehensive development environment integrating the UV package manager, Open Interpreter, and the MCP server, providing an efficient Python development toolchain and modern command-line tools.

An MCP server for dynamically creating LLM tools

The MCP Server is an interactive data exploration tool that helps users transform complex datasets into clear and actionable insights.