"How to find people on LinkedIn" matching MCP servers:

Provides climate data for 3,833 destinations including sunshine scores, temperatures, rainfall, and sea temperature, enabling users to find sunny destinations and compare climates via three tools.

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.

MCP server providing Korean weather forecasts from the KMA (short-term, hourly, daily) and timezone utilities (current time, conversion, lookup) using only standard Python zoneinfo.

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

WindAI MCP Server — AI-powered wind resource assessment for any location on Earth.

Enables AI agents to access paid tools like crypto prices, weather, translation, and web intelligence via per-request USDC payments on Base, with no API keys or subscriptions.

MCP server that provides Korean weather information using grid coordinates and the Korea Meteorological Administration API, allowing users to query current weather conditions and forecasts for specific locations in Korea.

A Model Context Protocol server that provides comprehensive weather data querying capabilities based on the Caiyun Weather API, supporting real-time weather, forecasts, and alerts with multi-language support.

Enables users to get detailed weather forecasts for any location using coordinates and retrieve active weather alerts for US states. Uses the National Weather Service API with no authentication 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 Model Context Protocol server that provides weather information and forecasts based on user location or address input.

A Model Context Protocol server that provides tools to fetch weather alerts for US states and forecasts based on latitude/longitude coordinates using the US National Weather Service API.

Enables users to fetch current weather conditions for any city worldwide and display weather information as native system notifications on macOS. Provides human-readable weather data including temperature, conditions, humidity, wind speed, and atmospheric pressure.

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 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.

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.

WeatherAI MCP server — 11 live weather tools for Claude Desktop, Cursor, Windsurf, and any MCP-compatible AI assistant

An MCP server that runs on AWS Lambda, enabling MCP clients like Claude Desktop to invoke tools such as weather forecasts via serverless infrastructure with OAuth authentication.

Demonstrates how to integrate Model Context Protocol with Server-Sent Events (SSE) in a FastAPI web application, including a weather service example with tools for getting forecasts and alerts.

Enables AI agents to retrieve real-time weather conditions and 7-10 day forecasts for any location via Open-Meteo, with no API key required.