"Techniques for File Operations" matching MCP servers:

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 MCP tools for reading the ant-design GitHub repository (repository info, directory listings, file contents) and for querying US weather alerts and forecasts via the National Weather Service API.

Provides a suite of utility tools for daily operations, including file format conversion, web page monitoring with change detection, Telegram polls, trading signals from Binance, weather alerts, and more. It includes retry/backoff handling, state persistence, and observability features.

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

A simple Node.js MCP server that exposes three tools: greet for personalized messages, calculate for basic math operations, and weather_info for mock weather data retrieval.

Fetches precipitation forecasts for any location using Buienradar and integrates with Claude for Desktop to provide accurate two-hour weather predictions.

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 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.

Enables weather data retrieval and analysis through an MCP server interface with support for local file operations.

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.

Hosted MCP server for weather forecast data. Enables AI agents to discover datasets, build validated API requests, and execute live weather queries after OAuth.

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.

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

Provides current weather and forecasts for any city via natural language, using OpenWeatherMap API and OpenAI for conversational interface.

An MCP server that offers arithmetic operations (addition and division) and current weather data from OpenWeatherMap. It serves as a learning project for building MCP servers with Node.js and TypeScript, supporting both stdio and Streamable HTTP transports.

Provides real-time weather data and current conditions for major Chinese cities and global locations using the wttr.in API. This HelloAgents-based server enables querying of temperature, humidity, and weather status without requiring an external API key.

Provides real-time, historical, and forecasted weather data for any location worldwide using the Open-Meteo API. It includes specialized tools for agricultural growing conditions, weather alerts, and up to 16 days of forecasts across multiple transport modes.

A monorepo for learning the Model Context Protocol with TypeScript, featuring example MCP servers for weather data and tax calculation.

A Model Context Protocol server that enables AI models to fetch weather alerts and detailed forecasts for US locations using the National Weather Service API.

Provides weather forecasts and active alerts for US locations using the National Weather Service API. It supports both local stdio and remote HTTP/SSE transport modes for flexible integration with MCP clients.