What is an MCP Server?

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

What is the WeatherXM PRO MCP Server?

It’s an MCP server implementation that exposes the WeatherXM PRO APIs as MCP tools, enabling clients to access weather station data, observations, and forecasts.

What features does the WeatherXM PRO MCP Server offer?

It allows you to get stations near a location, within a bounding box, or all available stations; get the latest or historical observations for a station; search for H3 cells by region; get stations in an H3 cell; get weather forecasts; and get forecast performance and ranking.

What are the prerequisites for using the WeatherXM PRO MCP Server?

You need Node.js and npm installed, and a valid WeatherXM PRO API key.

How do I configure the server for MCP clients?

You need to configure the mcpServers object in your client’s settings with the correct command, arguments, and environment variables, including your WeatherXM PRO API key.

How do I use the server with Claude Desktop?

Edit the claude_desktop_config.json file, add the server configuration, and restart Claude Desktop.

How do I use the server with Cursor?

In Cursor, go to Cursor Settings > MCP > Add a new global MCP server and specify the configuration.

How do I use the server with Windsurf Editor?

Navigate to the Windsurf MCP Configuration Panel, add a custom server, and specify the configuration.

Can I run the MCP server in a Docker container?

Yes, you can build and run it as a Docker container. See the documentation for build and run commands.

What should I do if I encounter issues?

Ensure the path to your MCP server repository is correct, verify your API key, check the MCP client configuration, and review the logs for errors.

Where can I find my WeatherXM PRO API Key?

You will need a valid WeatherXM PRO API key which can be aquired from WeatherXM PRO platform.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with LLM models, and create Multi-Agent Systems.