"A guide to creating software project documentation" matching MCP servers:

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

A demonstration project that implements a Model Context Protocol (MCP) server with example tools for calendar, task management, and weather functionality in a Docker container.

Provides real-time water temperature and tide predictions for any lake, river, ocean, bay, or beach using NOAA, USGS, and other sources.

An MCP server that provides real-time weather alerts for US states using the National Weather Service (NWS) API. It also includes utility features for message echoing and generating customizable greeting prompts.

Provides deterministic surf-window recommendations and explanations based on stored decisions, enabling safe surf planning through tool-backed evidence.

A FastAPI application that hosts multiple MCP servers for weather, news, currency, and quotes APIs.

MCP server that lets users obtain current Israeli city weather forecasts. It uses Playwright to browse Weather2day, extract the forecast page, and feed the cleaned data back to the LLM for natural language responses.

Enables querying real-time weather data for Israeli cities through natural language, using Playwright to scrape weather2day and Gemini LLM to answer.

MCP server that enables users to get real-time weather forecasts for Israeli cities by automating a browser with Playwright and using Gemini to answer natural language queries.

A collection of MCP servers demonstrating math operations, weather data, and LangGraph workflows.

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.

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.

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

Enables currency conversion, exchange rates, geocoding, and weather queries through MCP tools, integrated with OpenAI Responses API.

Enables users to get real-time weather alerts for US states and echo messages through both MCP server tools and a modern web interface. Provides weather information access with multiple deployment options for different use cases.

MCP server offering travel planning tools such as destination search, weather lookup, attraction discovery, and budget estimation.

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 connecting AI models to SRG SSR public APIs – weather, TV/radio metadata, program guide and Swiss votations/elections since 1900.

Enables users to check whether a beach suits a beach day or a surf session today or up to six days ahead, using Open-Meteo weather and marine forecasts scored by deterministic, documented rules. It exposes tools for raw hourly forecast data, suitability scores and verdicts by activity and skill level, and finding the best multi-hour window within a day.

Demonstrates creating and connecting an MCP weather server using FastMCP, with support for integration with Claude Desktop, Cursor, and local LLMs to query weather alerts and information.

A Model Context Protocol (MCP) server that provides access to Japanese weather forecasts using the weather.tsukumijima.net API.

A Node.js and TypeScript server project that provides a simple starter example with Express.js web server, supporting hot-reload, testing, and modular structure.

A Model Context Protocol server that provides current weather forecasts for specific locations and active weather alerts for US states.

Enables users to retrieve current weather information for any city location. Provides a simple interface to fetch weather data through natural language queries.

A basic MCP server template that can be integrated with Cursor to enable AI tools like weather information retrieval using Claude-3.7-sonnet model.

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

A demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.

A simple Node.js MCP server that exposes three tools: greet for personalized messages, calculate for basic math operations, and weather_info for mock weather data retrieval.

A basic MCP server adapted from the official quickstart guide that provides weather data functionality and works with OpenAI chat completions API. Demonstrates MCP server setup with configuration examples for Claude Desktop and development tools.

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 minimal MCP server built with TypeScript exposing a single mocked weather tool over stdio transport.

A modular MCP server that connects to external APIs, providing tools for weather data, user management, and company operations. Features a scalable architecture with TypeScript support, HTTP client abstraction, and robust error handling.

A simple demonstration project for the Model Control Protocol (MCP) server that provides tools for AI assistants to fetch news articles, perform calculations, retrieve weather data, and generate personalized greetings.

62 live, cryptographically signed data tools for AI agents and robots: weather, natural hazards, flights, shipping, space, CVEs, sanctions, software versions, sea ice and more. Every datapoint carries source, licence, timestamp and an Ed25519 signature.

A cross-platform MCP server that provides weather forecasts by coordinates, location name, or IP address without requiring API keys. It leverages Open Meteo and OpenStreetMap to deliver fast, single-query weather lookups.

Provides access to official MeteoSwiss weather data, including regional reports, daily forecasts, and website search functionality across multiple languages. It enables AI assistants to retrieve real-time weather information and documentation from MeteoSwiss using the Model Context Protocol.

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.

Adapts the HeFeng QWeather MCP server for ModelScope cloud hosting, allowing weather queries through stdio or HTTP with a default stdio entry.

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