"How to manage Jira tickets effectively" matching MCP servers:

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.

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.

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

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Provides tools to query flight and train information including flight searches, train tickets, weather forecasts, and transfer options between different transportation modes.

Provides tools to check weather information for any city and manage prospects in Upnify CRM with dynamic authentication, eliminating the need for pre-configured credentials.

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 AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

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.

Enables users to produce explainable UK garden watering recommendations as deterministic millimetres, litres and runtime from self-reported garden details or an optional postcode, without controlling irrigation hardware.

Enables Claude to set up and manage a local garden journal by searching places, saving garden setup, logging and updating plantings, retrieving forecasts, checking frost risk, and finding planting windows.

Enables users to work out soil, mulch, compost, topsoil and potting mix volumes and bag counts for beds and pots, compare bagged versus bulk costs at their own prices, check what to sow each month, and see how often a town has had frost after Melbourne Cup Day. It runs as a read-only, stateless MCP server that connects directly inside Claude, ChatGPT, Cursor and VS Code.

Wraps the Tomorrow.io Weather API to provide weather data, allowing AI agents to query forecasts and historical conditions via natural language.

A minimal Express-based MCP server that exposes a weather tool through HTTP endpoints, demonstrating how to implement the Model Context Protocol with streamable HTTP transport.

Enables agents to pull live overnight forecasts for grower blocks and score frost risk with an itemised, versioned engine, returning cold-window start/end hours and a run-protection, stand-by, or no-action verdict. It also lets agents list blocks and sheets, create or update idempotent decision records, and replay their SHA-384 hash chain to verify nothing was altered.

A comprehensive MCP server collection designed for Cursor that provides system information queries, personal profile management, web search capabilities, and weather forecasting. Enables users to access hardware details, manage resume data, search the web, and get weather updates through natural language interactions.

Enables AI assistants to list demo inverter sites, inspect production, pull weather context, and get deterministic panel-cleaning recommendations over MCP using synthetic solar operations data.