MODEL CONTEXT PROTOCOL

What is MODEL CONTEXT PROTOCOL?

MODEL CONTEXT PROTOCOL is a service built with FastMCP that provides real-time weather information for any city via the Tavily search API and internet usage data by country. It is designed for developers and users who want to query these datasets through MCP-compatible clients like Claude Desktop.

How to use MODEL CONTEXT PROTOCOL?

Install dependencies with Poetry, then create a .env file with your Tavily API key and MongoDB credentials. For weather, configure an MCP client (e.g., Claude Desktop) and search for “Current weather in ”. For internet usage, run mcp dev .<entry-point internet-usage> in the project directory.

Key features of MODEL CONTEXT PROTOCOL

• Real‑time weather data for any city
• Internet usage statistics by country
• Async API for efficient processing
• MCP‑based protocol for standardized communication
• MongoDB integration for internet usage storage

Use cases of MODEL CONTEXT PROTOCOL

• Quickly check current weather conditions during travel planning
• Retrieve country‑level internet adoption or usage figures for research
• Integrate weather or internet statistics into an MCP‑compatible assistant workflow

FAQ from MODEL CONTEXT PROTOCOL

What dependencies are required?

Python, Poetry, and a MongoDB instance (for internet usage). The .env file must contain TAVILY_API_KEY, MONGODB_URI, MONGO_DB_NAME, and MONGO_DB_COLLECTION.

How do I run the internet usage service?

Navigate to the project root and execute: mcp dev .<entry-point internet-usage>. This starts the MCP server for internet data.

Which MCP client can interact with this server?

The README specifically mentions Claude Desktop as an MCP client for querying weather data. Any MCP‑compatible client should work with the defined tools and resources.