"How to create an MCP tool" matching MCP servers:

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.

Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.

Provides aviation weather data (METAR, TAF, station search) with a unique assess_conditions tool that returns flight category, confidence, and an escalation gate to indicate when human review is needed.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

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

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.

Tracks how long you've been indoors, nags you to touch grass, detects frustration, and recommends nearby parks with live weather.

Enables users to get the current temperature for a city through a single MCP tool, using Open-Meteo data with no API key required.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

This MCP server demonstrates basic Model Context Protocol architecture by exposing a get_weather tool that returns fake weather data, communicating over stdio.

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.

Enables to query real-time weather information for any city worldwide by automatically geocoding city names and retrieving temperature, precipitation, and other data via Open-Meteo APIs, seamlessly integrated with Claude Desktop.

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.

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

An integration tool that allows users to fetch weather alerts/forecasts from the National Weather Service API and retrieve latest posts from hafiz.blog through natural language interactions with Claude.

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 Model Context Protocol compatible server that provides weather information for any city using Ollama's LLM capabilities through an exposed get-weather tool.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.

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.