Weather MCP Server

Weather MCP Server is an MCP server that provides real-time weather forecasts and meteorological alerts using the National Weather Service API. Built for developers, AI assistants, and automation workflows needing localized United States weather data, it enables Large Language Models to retrieve accurate atmospheric conditions directly during chat sessions. The server interfaces with public government weather endpoints to track sudden weather shifts, issue advisories, and fetch forecasts for designated geographic areas. Users interacting with MCP-compatible clients can query current temperatures, severe weather warnings, and short-term outlooks without manually browsing external forecasting sites. By integrating this server into agentic tools, developers can build reactive workflows that account for weather disruptions, plan travel itineraries, or trigger local alerting mechanisms based on National Weather Service updates. The server operates locally within typical MCP ecosystems, allowing seamless context injection into prompt engineering pipelines.

Category: Maps, Weather & Local Data

Tags: forecast, meteorology, nws, weather

Visit Weather MCP Server

How to install and configure Weather MCP Server

1. Review the project repository at https://github.com/MCP-Mirror/Danii2020_weather-mcp for specific prerequisites, runtime requirements, and setup scripts. 2. Clone the repository to your local machine using git clone https://github.com/MCP-Mirror/Danii2020_weather-mcp. 3. Follow the installation steps outlined in the repository to install necessary dependencies. 4. Open your MCP client configuration file, such as the Claude Desktop configuration file (claude_desktop_config.json). 5. Register the server under the mcpServers block with the appropriate executable path and arguments as detailed in the project's repository README. 6. Restart your MCP client to enable the weather tools.

What you can do with Weather MCP Server

• Querying real-time National Weather Service forecasts for specific regional coordinates or locations during conversations with an AI assistant. * Monitoring active weather alerts and severe meteorological warnings to trigger automated notices within personal or team operations. * Incorporating current atmospheric conditions into trip itineraries, event planning, and logistics scheduling workflows managed by LLMs. * Providing contextual meteorological data to automated agents executing environmental monitoring tasks or local reporting operations.

Key facts

• https://github.com/MCP-Mirror/Danii2020_weather-mcp
• Maps, Weather & Local Data
• forecast, meteorology, nws, weather

Part of MCP Servers

What is Weather MCP Server?

Weather MCP Server is a Model Context Protocol tool that connects AI clients to the National Weather Service API. It provides real-time meteorological forecasts, regional weather tracking, and official weather warnings directly inside supported chat applications.

How do I install Weather MCP Server?

To install the server, clone the repository from GitHub at https://github.com/MCP-Mirror/Danii2020_weather-mcp. Check the repository documentation for required runtime dependencies, build instructions, and the specific command configuration needed for your MCP client configuration file.

Which MCP clients work with Weather MCP Server?

The server is compatible with any standard Model Context Protocol client. This includes Claude Desktop, Cursor, and custom agentic frameworks configured to run local or remote MCP servers via standard configuration files.

What can Weather MCP Server do?

Weather MCP Server enables your AI assistant to fetch up-to-date weather forecasts and retrieve active alerts from the National Weather Service. It allows models to use official atmospheric data when answering questions about local climate conditions.