"How to convert a PDF file into Markdown format" matching MCP servers:

Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

Enables travel-related queries and planning including weather, train and flight information, itinerary generation, and travel knowledge retrieval via RAG, using an AI agent with MCP protocol.

MCP server for worldwide weather data, using high-resolution GeoSphere Austria data for the Alpine region and Open-Meteo elsewhere. Provides current conditions, hourly forecasts, and daily outlooks with compact emoji-markdown output.

Enables scheduling of construction works against weather forecasts, using deterministic tools to check weather suitability, estimate curing times, and place dependent tasks into the earliest non-prohibited time windows.

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 six general-purpose utilities (geocoding, reverse geocoding, weather, web search, URL-to-Markdown, secure random) as paid MCP tools, with each call costing $0.01 USDC on Base mainnet.

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

Provides MCP tools for reading the ant-design GitHub repository (repository info, directory listings, file contents) and for querying US weather alerts and forecasts via the National Weather Service API.

A minimal MCP server demo written without the MCP Python SDK that demonstrates the complete protocol flow. It provides weather, file search, and datetime tools, and includes a CLI client that bridges MCP tools with OpenAI function calling.

Provides a suite of utility tools for daily operations, including file format conversion, web page monitoring with change detection, Telegram polls, trading signals from Binance, weather alerts, and more. It includes retry/backoff handling, state persistence, and observability features.

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.

Enables weather data retrieval and analysis through an MCP server interface with support for local file operations.

Provides real-time weather information and multi-day forecasts using the Open-Meteo API through a robust, enterprise-grade architecture. It enables AI assistants to retrieve current conditions, 7-day forecasts, and contextual weather data for any location.

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.

A basic MCP server implementing a weather tool using Next.js and the Vercel MCP adapter.

A Model Context Protocol server that enables AI models to fetch weather alerts and detailed forecasts for US locations using the National Weather Service API.

Enables access to EPA AirNow real-time AQI and forecast data for US locations through a single tool, with a free API key.