"Resources for Coding in Python" matching MCP servers:

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

An MCP server for US electricity demand and weather data that provides tools, resources, and prompts to query hourly demand, daily demand, peak demand, and demand vs temperature across regions, all running locally with a bundled SQLite database.

Enables on-demand weather queries for up to three named locations via Open-Meteo, supporting current conditions, forecasts, rain probability, and conversational location management in English or Japanese.

Exposes Weather Underground personal weather station data as tools in Claude, enabling queries for current conditions, daily summaries, hourly history, and station metadata.

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.

Beach Safety MCP — comprehensive beach and surf conditions for any beach worldwide: waves, swell, wind, air and water temperature, UV index, rip current risk, and a 1-10 safety score. No API keys needed. Python, stdio transport.

Enables AI coding agents to score any geographic coordinate for ecological and agricultural land suitability by analyzing satellite and climate data, returning a weighted score with per-metric breakdowns for vegetation, water, terrain, and more.

A production-grade MCP server that provides real-time weather data and demonstrates the complete MCP protocol surface including tools, resources, prompts, and structured output.

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.

Enables AI assistants to retrieve Italian Alpine and Apennine hiking data, including numbered trails, refuges, avalanche bulletins, and mountain weather forecasts, through MCP tools, resources, and prompts.

An MCP server that provides weather forecast tools for Israel (via Playwright web scraping) and the USA (via NWS API), enabling LLM agents to answer weather queries in natural language.

Enables fetching current weather forecast for cities in Israel by scraping weather2day.co.il using Playwright.

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.

A lightweight Node.js server that connects Claude Desktop to Taiwan's Central Weather Administration (CWA) API, allowing users to retrieve weather forecast data for all cities and counties in Taiwan.

An MCP server that provides current weather conditions and hourly forecasts for locations across Norway using the MET Norway Locationforecast 2.0 API. It features coordinate support, geocoding for any Norwegian location, and built-in configurations for major cities.

Enables real-time weather queries for cities worldwide using Open-Meteo API. Provides 7-day forecasts with detailed information including temperature, wind, humidity, precipitation, and comfort level assessments in both Chinese and English.

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.

Provides access to current weather conditions and hourly forecasts for any location in Sweden using the SMHI Open Data API. It supports built-in city lists, coordinate inputs, and geocoding fallback to deliver detailed meteorological data without requiring authentication.

Provides access to Portuguese meteorological data from IPMA (Instituto Português do Mar e da Atmosfera), including weather forecasts, warnings, UV index, seismic data, and weather station observations for cities in Portugal.