"Simple HTTP server or client implementation" matching MCP servers:

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.

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.

Fetches live weather data from Open-Meteo without an API key and returns structured JSON with location disambiguation, enabling weather queries in LM Studio chat.

A demonstration MCP server that provides example tools for weather queries, time retrieval, and request handling, along with advice prompts. Supports both HTTP and stdio modes for testing MCP client integrations.

Model Context Protocol server: plug AEMET into Claude Desktop, Cursor, Windsurf or any MCP client. Runs locally over stdio.

A tutorial-based MCP server that fetches real-time weather data from the OpenWeatherMap API for specified locations. It serves as a practical example for implementing the Model Context Protocol using Python and the FastMCP library.

Enables full-text search over personal notes, note and tag management, and live weather lookups through MCP tools, resources, and prompts, usable from clients like Claude Desktop or a custom agent loop.

An MCP server that provides weather and time tools, enabling users to get current time, weather alerts, and forecasts through natural language with Claude Desktop.

An extensible MCP server with weather and time tools for Claude Desktop. It provides current time with automatic timezone detection, weather alerts for US states, and 5-period forecasts for coordinates.

A simple MCP server demonstrating tools, resources, and prompts for weather data, built during an Agentic AI Internship.

Provides access to German Weather Service (DWD) data via the Bright Sky API, including current conditions, forecasts, and official weather alerts. Users can retrieve weather information and locate stations using either city names or geographic coordinates.

An MCP server that provides real-time weather information including temperature, humidity, wind speed, and sunrise/sunset times through the OpenWeatherMap API.

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

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.

mcp server for weather information query

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

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

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.