"PyTorch-related MCP (Model Context Protocol) implementation or server" matching MCP servers:

MCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.

Integration platform for aviation data sources including weather, NOTAMs, airport information, and flight planning APIs, enabling comprehensive pre-flight preparation and in-flight decision support.

Integrates the US National Weather Service API with Claude Desktop to provide real-time weather conditions, forecasts, and detailed weather metrics for any US location through natural language queries.

Enables AI agents to retrieve current weather conditions and 3-day forecasts for cities through standardized MCP tools over stdio.

A free Model Context Protocol server that retrieves global weather data and forecasts via the Open-Meteo API, with Sydney set as the default location.

Integrates the US National Weather Service API with Claude Desktop, enabling users to query current conditions and forecasts using natural language.

A Model Context Protocol (MCP) server that provides US weather forecasts and active alerts using the National Weather Service API.

A Model Context Protocol server that provides AI agents with tools to retrieve weather alerts and detailed forecasts for US locations using the National Weather Service API.

A Model Context Protocol server that retrieves current weather information for any city using the OpenWeatherMap API, designed for integration with Claude Code.

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.

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

A minimal Python-based server that provides real-time weather data and a safe mathematical expression evaluator. It enables users to fetch current weather conditions and perform complex calculations using the Model Context Protocol.

A lightweight bridge connecting LLMs to real-world APIs like finance, weather, news, and GitHub through Anthropic's Model Context Protocol, enabling unified access and intelligent query routing.

This MCP server provides tools like weather lookup and follows the Model Context Protocol for tool calling, resource sharing, and prompt templates.

Provides weather forecasts, alerts, and current conditions via the Model Context Protocol, using simulated data and supporting both stdio and HTTP transports.

A collection of lightweight servers that expose weather and financial capabilities through the Model Context Protocol, allowing users to access weather alerts, forecasts, and financial market data with technical analysis.

Provides real-time weather data including temperature, humidity, and conditions for any city through the Model Context Protocol.

This MCP server provides weather tools for current conditions, forecasts, and travel recommendations using the National Weather Service API, enabling agents to answer weather-related questions.