"Research on Mimic GPT Technology" matching MCP servers:

FastMCP server offering weather and news lookup tools, demonstrating MCP integration with a LangGraph multi-agent research workflow.

Enables querying Portuguese weather forecasts from IPMA, with tools to list localities and retrieve temperature and weather predictions.

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.

Calculate the altitude, rise, and set times of celestial objects (Sun, Moon, planets, stars, and deep-space objects) for any location on Earth.

WindAI MCP Server — AI-powered wind resource assessment for any location on Earth.

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.

Provides MCP tools to fetch weather forecasts for Israeli cities using browser automation with Playwright, without relying on external APIs.

Enables AI agents to access paid tools like crypto prices, weather, translation, and web intelligence via per-request USDC payments on Base, with no API keys or subscriptions.

Provides AI assistants with live tools for Portuguese public data including fuel prices, weather, postal codes, statistics, and open data.

Provides bike tire pressure recommendations based on a SRAM-like formula, including live weather-adjusted front/rear pressures for configured bike profiles.

A Model Context Protocol server that provides comprehensive weather data querying capabilities based on the Caiyun Weather API, supporting real-time weather, forecasts, and alerts with multi-language support.

Enables users to get detailed weather forecasts for any location using coordinates and retrieve active weather alerts for US states. Uses the National Weather Service API with no authentication required.

A Model Context Protocol server that provides weather information and forecasts based on user location or address input.

A Model Context Protocol server that provides tools to fetch weather alerts for US states and forecasts based on latitude/longitude coordinates using the US National Weather Service API.

Enables users to fetch current weather conditions for any city worldwide and display weather information as native system notifications on macOS. Provides human-readable weather data including temperature, conditions, humidity, wind speed, and atmospheric pressure.

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.

An MCP server that runs on AWS Lambda, enabling MCP clients like Claude Desktop to invoke tools such as weather forecasts via serverless infrastructure with OAuth authentication.

Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.

Lets an agent register a site and a weather rule (e.g., gusts under 30 km/h and no precipitation for 3 h within 48 h) and returns immediately, so a background worker can watch the forecast on a budgeted cadence and POST a signed, verifiable webhook that resumes a durable workflow when the window appears or the deadline passes.

Provides real-time weather queries for 12 major Chinese cities (plus global English city support) using the wttr.in API. Built on the HelloAgents framework, it exposes tools to get current weather, list supported cities, and get server info.

Provides tools for greeting, calculation, time lookup, geocoding, weather, and image generation via HuggingFace, with streamable HTTP and stdio support, deployable on Vercel.

Ask your AI what to wear: weather-aware outfit suggestions for any city and occasion, today or tomorrow. Live weather via OpenWeather, layering advice on big temperature swings, curated styling formulas for 7 occasions. Hosted at https://outfitmaker.ai/mcp (Streamable HTTP, no auth). Tools: what_to_wear_today, suggest_outfit, about_outfitmaker.

A modular server based on Model Context Protocol (MCP) that provides weather queries, mathematical calculations, and search functionalities.

Provides weather information using the US National Weather Service API, including active weather alerts for US states and location-specific forecasts based on latitude and longitude coordinates.

Integrates OpenWeatherMap API with MCP to provide weather data, forecasts, air quality, maps, alerts, and geocoding via natural language.

Provides current weather information for Japanese cities using the Open-Meteo API. A sample MCP server built with FastAPI_MCP to demonstrate integrating MCP with FastAPI.

Provides tools for image generation, weather, geocoding, and basic utilities, deployable on Vercel via Streamable HTTP.

Enables users to generate weather- and itinerary-adaptive capsule wardrobe packing lists that respect destination dress codes and airline carry-on limits.

Hosts MCP tools for weather queries and On-Behalf-Of flow, enabling Copilot to retrieve weather data and user info via Azure Functions.

Provides details on active tropical cyclones including storm details, advisories, forecasts, and cone/surge product links via a keyless API.

Enables real-time weather lookups for cities through the wttr.in service, accepting both Chinese and English city names along with tools to list supported Chinese cities and retrieve server metadata. It runs over Streamable HTTP with configurable host, port, and transport settings for deployment on platforms such as Smithery or via Docker.

Production-ready integration of Microsoft Agent Framework with MCP, enabling AI agents to access tools like weather queries, calculations, and Taiwan stock prices through SSE/HTTP streaming transport with Azure OpenAI GPT-4 backend.

Prepares reminders for going out based on weather conditions and suggests meetup spots using weather and location data, with optional AI curation.

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

Nine tools for indoor climate and household energy in Germany/EU: BTU sizing for a room, portable-AC window-seal length, live heatwave outlook, appliance running costs, heating watts, dew point for safe ventilation, and balcony-storage subsidy rules. Also searches and reads 133 guides on getecoback.com; no auth, no personal data, and every answer returns its source URL.

Enables users to look up current conditions and multi-day forecasts (up to 7 days) for cities worldwide by accepting Chinese or English city names and returning Chinese-language results. It draws on dual data sources with automatic fallback for reliability, and can be used either via a hosted Streamable HTTP endpoint or self-hosted without any API keys.

A template for deploying MCP servers on Vercel with example tools for rolling dice and getting weather data. Provides a foundation for building custom MCP servers with tools, prompts, and resources that can be deployed to Vercel's serverless platform.

Enables voice assistants to research and rank family outings by checking live web sources, hourly forecasts, park alerts, and drive times against each household member's needs. It remembers family profiles and past visits so every recommendation comes back with a per-member fit verdict.

Provides real-time weather information for South Korea, including temperature, sky condition, precipitation type, humidity, and precipitation amount, based on latitude and longitude coordinates using public data from the Korea Meteorological Administration.

An MCP server providing AI-powered weather tools via Google Generative AI, enabling real-time weather data retrieval through natural language queries.