"Simple Icons" matching MCP servers:

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

This MCP server enables AI assistants to perform calculations, fetch live weather, manage in-memory notes, access system info and note resources, and use reusable code review and summarization prompts.

A simple MCP server that exposes a get_weather tool to fetch real-time weather for any GPS coordinates using the Open-Meteo API, no API key required.

A simple server that implements the Model Context Protocol, allowing AI models like Claude to fetch real-time weather information for any location using the wttr.in API.

A Node.js and TypeScript server project that provides a simple starter example with Express.js web server, supporting hot-reload, testing, and modular structure.

A demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.

A simple Node.js MCP server that exposes three tools: greet for personalized messages, calculate for basic math operations, and weather_info for mock weather data retrieval.

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

A simple MCP server that provides a tool to fetch current weather information for cities using the Open-Meteo API, communicating through stdin/stdout.

Enables AI agents to fetch real-time weather data for any location using the OpenWeatherMap API. Demonstrates how to build a simple MCP server that exposes weather information as a tool for LLMs.

A simple service using Model Context Protocol (MCP) to provide weather information for multiple cities including Fukuoka, Tokyo, Osaka, Moscow, and New York.

A simple demonstration server for the MCP Python SDK that provides weather alerts for locations, allowing users to query weather information through Claude Desktop or Cursor.

A simple educational MCP server implemented in Node.js that allows users to fetch weather information for cities using the Open-Meteo API.

A MCP server that provides real-time weather information for any city through a simple tool that resolves geographic coordinates and fetches current weather data.

A simple demonstration project for the Model Control Protocol (MCP) server that provides tools for AI assistants to fetch news articles, perform calculations, retrieve weather data, and generate personalized greetings.

A cross-platform MCP server that provides weather forecasts by coordinates, location name, or IP address without requiring API keys. It leverages Open Meteo and OpenStreetMap to deliver fast, single-query weather lookups.

Fetches live weather data from Open-Meteo without an API key and returns structured JSON with location disambiguation, enabling weather queries in LM Studio chat.

Provides current weather information for Japanese cities using the Open-Meteo API. A sample MCP server built with FastAPI_MCP to demonstrate integrating MCP with FastAPI.

A tutorial-based MCP server that fetches real-time weather data from the OpenWeatherMap API for specified locations. It serves as a practical example for implementing the Model Context Protocol using Python and the FastMCP library.

Enables users to get real-time weather information for any city in the world. Provides current temperature and weather conditions through a simple city name query.