The MCP Weather server is an official reference implementation that demonstrates delivering weather time-series data to LLMs via MCP, serving as a plug-and-play and educational example for MCP spec adherence.
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Provides aviation weather information through a Model Context Protocol (MCP) server, enabling access to METARs, TAFs, PIREPs, and route weather data.
An open-source MCP (Model Context Protocol) server implementation that enables connecting open data sources to LLMs. Provides tools to access, publish, and serve public datasets as MCP servers, making it directly relevant to the 'Awesome MCP Servers' topic.
A Python-based MCP (Modular Command Protocol) server that provides weather information and alerts by integrating with the US National Weather Service API. This server is designed as an example for building and running MCP servers, and is directly relevant for anyone seeking to implement or explore MCP server solutions.
An example implementation of an MCP server that provides weather data using the National Weather Service API. Serves as a practical reference for building and running MCP servers, highly relevant for developers seeking inspiration or templates for their own MCP servers.
An example MCP (Machine Communication Protocol) server implemented in .NET that exposes weather forecast and alert tools, designed specifically for integration with Claude for Desktop. This server demonstrates how to build and configure an MCP server as part of the 'Awesome MCP Servers' ecosystem.
An MCP server demonstrating how to retrieve weather data from the Hong Kong Observatory, useful for context-aware AI agents via MCP.
The MCP Weather Server is an official reference implementation that demonstrates delivering weather time-series data to LLMs via the MCP protocol. It serves as a plug-and-play and educational example for MCP specification adherence.
Category: Data Access Integration MCP Servers
Tags: weather, open-data, reference-implementation, ai-integration
This server is intended for developers and organizations looking to integrate reliable, high-resolution weather data into their applications or AI systems, and to demonstrate compliance with the MCP spec.