"Resources for foreign language learning" matching MCP servers:

Provides current weather data for any city using the Open-Meteo API, exposed as an MCP tool for integration with MCP clients.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

Enables querying current weather conditions and 1–7 day forecasts by place name through natural language, using Open-Meteo without requiring an API key.

A minimal MCP server that provides weather data using Open-Meteo API, designed as a teaching tool for improving AI agent tool interfaces.

An MCP server that provides weather alerts and forecasts, system shutdown/restart, smart browser search, and screenshot capture.

A simple MCP server that provides weather tools, deployable with Docker, and designed to be used with Claude Desktop via a WSL bridge.

A production-ready MCP server that provides real-time weather information, forecasts, air quality, and weather alerts through the OpenWeatherMap API. It integrates with Claude Desktop and other MCP-compatible clients for natural language weather queries.

Integrates weather tools with Intercom, providing real-time weather alerts, forecasts, and personalized customer greetings using National Weather Service API data.

An MCP server for US electricity demand and weather data that provides tools, resources, and prompts to query hourly demand, daily demand, peak demand, and demand vs temperature across regions, all running locally with a bundled SQLite database.

A production-grade MCP server that provides real-time weather data and demonstrates the complete MCP protocol surface including tools, resources, prompts, and structured output.

A simple MCP server demonstrating tools, resources, and prompts for weather data, built during an Agentic AI Internship.

Enables querying hardcoded weather data for Delhi, Mumbai, and Bangalore through natural language, using a single stdio-transport tool that Claude can discover and call.

Provides real-time weather information for cities worldwide using the OpenWeatherMap API, accessible through natural language queries via the MCP protocol.

A service that provides real-time weather data, forecasts, and alerts for US locations through natural language queries in the Cursor IDE.

A learning project demonstrating how to build MCP servers with Python, featuring weather query tools that showcase custom tool creation, configuration, and integration with AI assistants.

Enables users to retrieve current weather information for any city location. Provides a simple interface to fetch weather data through natural language queries.

A comprehensive template for building MCP servers with TypeScript, Fastify, and Docker support. Includes tools for calculations and weather data, resources for server information, and prompts for greetings with full development tooling.

Provides real-time weather information for any location worldwide using the wttr.in service, enabling AI assistants to fetch current weather conditions and temperatures through natural language queries.

An experimental MCP server that provides weather information tools, including temperature lookup via wttr.io, along with note-taking capabilities for learning MCP server development with GitHub Copilot.

Enables AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.