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mcp-weather-stdio

by justjoehere justjoehere/mcp-weather-stdio
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Building a Model Context Protocol (MCP) Server: A Practical Guide

This repository contains a working example of a Model Context Protocol (MCP) server implementation. We've created a weather service to demonstrate how to build, package, and deploy an MCP server that can integrate with AI models and applications.

What is the Model Context Protocol?

The Model Context Protocol (MCP) enables AI models to interact with external tools and services in a standardized way. Think of it as a universal translator between AI models and the tools they need to use. When an AI model needs to check the weather, analyze data, or perform any external action, MCP provides the framework for this communication.

Why This Example Matters

Building an MCP server might seem daunting at first, but this weather service example breaks down the process into understandable components. We've chosen weather data because it's:

  • Familiar to everyone
  • Complex enough to show real-world patterns
  • Simple enough to understand quickly

Core Concepts Demonstrated

Through this example, you'll learn how to:

  1. Structure an MCP server using Python
  2. Define and implement tools that AI models can use
  3. Handle asynchronous communication via STDIO
  4. Package your server for distribution
  5. Integrate with different AI platforms

Getting Started

We've organized the documentation into several guides:

  1. Understanding MCP Server Structure - Core components and their roles
  2. Implementation Guide - Step-by-step walkthrough of the code
  3. Installation and Running - Different ways to deploy your server
  4. Integration Guide - Connecting with Claude Desktop and other platforms

Quick Start

If you're eager to see the server in action, follow these steps:

  1. Install using UV (recommended):
uv pip install -e .
  1. Run the server:
uv --directory path/to/project run mcp_weather_service_stdio
  1. Test with the MCP inspector:
npx @modelcontextprotocol/inspector uv --directory path/to/project run mcp_weather_service_stdio

Learning Path

If you're new to MCP, we recommend following this learning path:

  1. Start by reading the Understanding MCP Server Structure guide
  2. Experiment with running the server using the Quick Start instructions
  3. Study the implementation details in Implementation Guide
  4. Try modifying the server to add new capabilities

Contributing

We welcome contributions that help make this example more educational. Whether it's better documentation, new features that demonstrate additional MCP capabilities, or improved explanations, please feel free to submit a pull request.

Next Steps

Ready to dive in? Head to Understanding MCP Server Structure to begin your journey into MCP server development.