MCP Meteostat Server
A global meteorological data query server based on the Meteostat API
rating : 2 points
downloads : 8
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 QuerySupports querying nearby meteorological stations through latitude and longitude coordinates, and returns stations within a default radius of 50 kilometers.
Standardized API InterfaceA JSON API that conforms to the RESTful specification, and the response contains standardized meteorological metadata.
Global Data CoverageRelying on the Meteostat database, it provides historical data query for more than 20,000 meteorological stations worldwide.
Advantages and Limitations
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 DestinationsA travel APP integrates this service to display local historical weather patterns when users select a destination.
Agricultural Irrigation PlanningA 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
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