MCP Meteostat Server
M

MCP Meteostat Server

A global meteorological data query server based on the Meteostat API
2 points
8.7K

What is MCP-Server?

MCP-Server is a meteorological data service middleware based on Node.js. By connecting to the Meteostat weather API, it provides developers with the ability to query global meteorological data. The service supports querying historical weather data of nearby meteorological stations based on latitude and longitude.

How to use MCP-Server?

Simply send JSON data containing latitude and longitude coordinates via an HTTP POST request to obtain information about meteorological stations near the specified location. The service provides out-of-the-box RESTful interfaces.

Applicable Scenarios

Suitable for scenarios such as Web/mobile applications that need to integrate weather data, agricultural meteorological monitoring systems, and travel planning tools. Particularly suitable for quickly validating prototypes of weather-related products.

Main Features

Geographical Coordinate Query
Supports querying nearby meteorological stations through latitude and longitude coordinates, and returns stations within a default radius of 50 kilometers.
Standardized API Interface
A JSON API that conforms to the RESTful specification, and the response contains standardized meteorological metadata.
Global Data Coverage
Relying on the Meteostat database, it provides historical data query for more than 20,000 meteorological stations worldwide.
Advantages
Rapid Deployment: Pre-built Docker images and npm packages support one-click deployment.
Lightweight: The core service only requires a Node.js environment, and the memory usage is less than 100MB.
Developer-Friendly: Clear API documentation and example requests
Limitations
Data Delay: There is a 1 - 3 day delay in meteorological data updates.
Accuracy Limitation: The density of meteorological stations in rural areas is relatively low.
No Real-Time Data: Only historical weather record queries are provided

How to Use

Install the Service
After ensuring that the Node.js 16+ environment is installed, install dependencies via npm.
Start the Service
In the development environment, it can be run directly. In the production environment, it is recommended to build first and then start.
Send a Query Request
Send a POST request to the running service instance, which must include valid latitude and longitude parameters.

Usage Examples

Query Weather at Tourist Destinations
A travel APP integrates this service to display local historical weather patterns when users select a destination.
Agricultural Irrigation Planning
A farm management system optimizes irrigation plans by analyzing historical precipitation data.

Frequently Asked Questions

Is the service free to use?
What is the data update frequency?
How to expand the query radius?

Related Resources

Meteostat Official Documentation
Complete technical documentation for the underlying data API
GitHub Repository
Service source code and issue tracking
Postman Collection
Test cases containing all API endpoints

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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