"Creating an MCP Server" matching MCP servers:

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

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

An MCP server that wraps the Open-Meteo API to provide current weather, forecasts, and historical data for any location without requiring an API key.

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

A Python MCP server with JWT authentication and sample tools (weather + Bitcoin price), plus an AI agent that uses OpenAI to reason about and call those tools.

An MCP server providing tools for weather, calculations, currency conversion, timezone queries, and unit conversions.

An advanced Model Context Protocol server that integrates real-time weather data, local file system navigation, and geographic information with AI-powered analysis tools. It enables users to perform complex data evaluations and manage files while accessing live climatic and demographic data through compatible MCP clients.

MCP server for SMHI weather data, providing current conditions, hourly and daily forecasts, and daily summaries for northern Europe.

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.

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.

Enables AI assistants to retrieve current weather conditions and forecasts for specified locations by geocoding places and pulling data from Open-Meteo, with optional natural-language summaries via Groq.

An unofficial MCP server that provides access to Indonesia's BMKG data, including real-time earthquake reports, village-level weather forecasts, and extreme weather alerts. It enables users to search for location codes and retrieve detailed meteorological and geophysical information through natural language.

AI assistants can size heat pumps, estimate energy costs, and verify cold-climate performance using bundled data and no API keys.

Enables AI assistants to retrieve current weather conditions and forecasts for any location via natural language, with optional AI-generated summaries.

Enables LLMs to retrieve weather forecasts for Israeli cities via browser automation and USA weather via API, maintaining state across tool calls for sequential operations.

An MCP server that provides weather and time tools, enabling users to get current time, weather alerts, and forecasts through natural language with Claude Desktop.

Enables AI assistants to look up live weather data, including current conditions and up to 16-day forecasts, by converting place names to coordinates and fetching data from the Open-Meteo API without requiring an API key.

Wraps a climate data-processing pipeline so agents can inspect the config schema and available sample CSVs, validate an inline JSON config, and run the pipeline to return a monthly summary table plus a rendered plot, with file access sandboxed to the data and outputs directories.

Provides comprehensive access to Portuguese weather data from IPMA, including forecasts, warnings, sea state, fire risk, UV index, seismic activity, and weather station observations for all Portuguese cities and islands.

Enables AI assistants to retrieve current weather conditions and multi-day forecasts for any location, with optional natural-language summaries.