"Examples of DeepSeek-related applications or projects" matching 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 two MCP server examples in Python: a minimal greeting tool and a weather tool that fetches real-time data from Open-Meteo API.

Provides AI assistants with access to real-time space weather data and forecasts from NOAA's Space Weather Prediction Center, enabling queries and interpretations of geomagnetic storms, solar flares, and related indices.

Enables scheduling of construction works against weather forecasts, using deterministic tools to check weather suitability, estimate curing times, and place dependent tasks into the earliest non-prohibited time windows.

MCP server providing weather forecast and geocoding tools using Open-Meteo API, with examples of basic and agent-based clients.

Provides Open-Meteo weather tools that return both structured forecast data for the model and a weather card (image link or text) for the user, plus geocoding of place names to coordinates. Requires no API key and works over stdio or streamable HTTP.

Official aviation data MCP by Flight Master DAST (航班管家 DAST), providing flight status, route search, onboard comfort, delay and cancellation risk, airport weather forecasts, and real-time or historical flight trajectories.

Enables querying AgroClimate company data via natural language through ChatGPT or Claude.

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.

Combines UK Met Office weather forecasts with travel routing to provide outfit recommendations for walking, cycling, or driving journeys.

Enables control of OtO Lawn smart sprinkler devices from MCP clients by listing devices, zones, schedules, weather, diagnostics, and starting or stopping watering on demand.

Enables AI assistants to check live air quality in Poland, including the nearest official GIOŚ monitoring stations with the air quality index and hourly PM2.5, PM10, NO2, O3 and SO2 readings, plus smog warnings for the voivodeship and a 3-day Copernicus CAMS forecast of particulate matter and pollen. Can be used via a public no-key endpoint or run locally.

Provides weather forecast data for locations in China using the HeFeng Weather API, with real-time, hourly, or daily forecasts and location-based queries.

Provides access to Hong Kong Observatory weather data APIs, enabling retrieval of forecasts, earthquake info, tide data, and more via natural language.

Get weather of Japan

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

A demo MCP server built with FastMCP that provides weather, calculation, and currency conversion tools for use with AI applications like Claude Desktop and Cursor.

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 lightweight server that exposes weather-related tools (get_coordinates and get_forecast) using the Modular Command Protocol, designed for integration with AI agents and LLMs.

An MCP server that provides weather information and alerts for US locations using the National Weather Service API, enabling retrieval of weather forecasts and active weather alerts.

A simple demonstration server for the MCP Python SDK that provides weather alerts for locations, allowing users to query weather information through Claude Desktop or Cursor.

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.

A Python-based MCP server that predicts tomorrow's weather. It can be used remotely via uvx or locally with uv.

Provides weather alerts and forecasts via the National Weather Service API, enabling Claude to answer weather-related queries.

Provides real-time weather forecasts and alerts by fetching data from the National Weather Service API, allowing Claude to answer weather-related questions with up-to-date information.

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.

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.

Enables access to Thailand public data without an account or API key, covering weather, maps, places, hazards, finance, and more via live no-key JSON APIs.

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

An MCP server that enables retrieval of historical weather data (temperature, precipitation, conditions, etc.) from Visual Crossing for specified locations and dates.