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`.
@arkapatra31
基本情報
Implementation of Anthropic's Model Context Protocol
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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.
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.
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`.
Navigate to the project root and execute: `mcp dev .<entry-point internet-usage>`. This starts the MCP server for internet data.
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.

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