"Redmine Project Management Tool" matching MCP servers:

Exposes the getWeather and getTime tools over a stateless streamable-HTTP MCP endpoint at /mcp, so clients can look up weather for a location and the current time for a timezone through MCP tool calls. Running the same pure tool code as the app's OpenAPI surface, it lets you register the deployment as a remote MCP tool and compare MCP against custom-OpenAPI integration.

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.

Provides aviation weather data (METAR, TAF, station search) with a unique assess_conditions tool that returns flight category, confidence, and an escalation gate to indicate when human review is needed.

Provides live weather radar and text-based radar maps for any location via the get_weather tool, returning structured data and character grid visualizations readable by both humans and LLM agents.

Enables LLMs to retrieve up-to-date weather forecasts for Israeli cities from weather2day.co.il using Playwright and MCP, with Hebrew city name support and a sequential tool workflow.

Provides AI clients with real-time tools for math evaluation, timezone-aware time lookup, live weather retrieval, and persistent note management, all accessible over the Model Context Protocol via stdio.

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.

A simple MCP server that exposes a get_weather tool to fetch real-time weather for any GPS coordinates using the Open-Meteo API, no API key required.

Provides real-time weather data by exposing a get_current_weather tool via MCP, using the Open-Meteo API over stdio JSON-RPC.

Enables users to get the current temperature for a city through a single MCP tool, using Open-Meteo data with no API key required.

Provides current weather data for any city using the Open-Meteo API, exposed as an MCP tool for integration with MCP clients.

MCP server that provides current weather for any city using Open-Meteo APIs. It exposes a single tool 'get_weather' returning temperature, humidity, wind, and other weather data.

Provides a weather forecast tool that accepts a city name (in Russian or English) and returns a 7-day forecast with temperature, precipitation, and wind data via the Open-Meteo API.

Enables users to ask for a city’s forecast for a specific day and receive a concise sentence, using Open-Meteo data through the get_forecast tool.

This MCP server demonstrates basic Model Context Protocol architecture by exposing a get_weather tool that returns fake weather data, communicating over stdio.

Enables querying hardcoded weather data for Delhi, Mumbai, and Bangalore through natural language, using a single stdio-transport tool that Claude can discover and call.

Provides real-time weather information for cities worldwide using the OpenWeatherMap API, accessible through natural language queries via the MCP protocol.

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.

Enables to query real-time weather information for any city worldwide by automatically geocoding city names and retrieving temperature, precipitation, and other data via Open-Meteo APIs, seamlessly integrated with Claude Desktop.

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.

Provides an LLM with tools to retrieve US National Weather Service forecasts and active alerts, enabling natural-language answers about current conditions.

Enables dynamic, real-time weather alerts and forecasts from the National Weather Service through AI agentic tool calls.

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.

A command-line tool that provides access to US weather data through a client-server architecture using MCP and Google's Gemini AI, allowing users to query weather alerts and forecasts using natural language.

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

An integration tool that allows users to fetch weather alerts/forecasts from the National Weather Service API and retrieve latest posts from hafiz.blog through natural language interactions with Claude.

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 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 Model Context Protocol compatible server that provides weather information for any city using Ollama's LLM capabilities through an exposed get-weather tool.

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.