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
Basic information
Implementation of Anthropic's Model Context Protocol
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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