Weibo's specialized weather application, WeatherTong, has recently introduced its MCP Server tool for AI developers.
This professional meteorological MCP tool emphasizes easy integration, comprehensive features, and accurate forecasting, providing AI developers and enterprises with high-precision, real-time weather query and forecast services.
The service covers numerous core capabilities including real-time weather, weather forecasts, disaster warnings, air quality, and lifestyle indices, facilitating the rapid integration of professional weather data into AI applications.
WeatherTong MCP Server is now officially available on the Alibaba Cloud Marketplace, the Bailian Platform, and the Coze platform.
On the Alibaba Cloud Marketplace and Bailian Platform, WeatherTong has launched its "Flagship Edition," which offers access to over 40 professional meteorological tools.
The platform currently provides a beginner-level free trial quota and a cost-effective pricing plan that allows for up to 1 million API calls for as low as 0.01 RMB, along with tiered payment options.
This structure helps developers manage costs flexibly during phases of testing, validation, agent development, and large-scale application deployment.
Concurrently, WeatherTong has also joined the Coze platform, offering a plugin with 18 weather tools that supports developers in achieving integration with minimal barriers.
Through this multi-platform, multi-version service portfolio, WeatherTong MCP Server further lowers the threshold for AI applications to incorporate professional weather capabilities.
The service employs a refined tool-calling mechanism, effectively saving developers' large language model token costs, and supports universal API access.
This eliminates the need for developers to encapsulate weather APIs themselves, enabling quick integration and allowing them to focus their core efforts on business logic development and product innovation.
In terms of service capabilities, WeatherTong MCP Server demonstrates a high degree of comprehensiveness.
Beyond real-time weather data such as temperature, feels-like temperature, and humidity, its forecast cycles comprehensively cover near-term minute-level precipitation, hourly forecasts for the next 24 hours, and daily forecasts for the upcoming 15 days.
For specialized scenarios like travel planning, agricultural production, commercial operations, and insurance actuarial work, the service also provides extended forecasts for the next 40 days and ultra-long-range forecasts for the next 100 days.
Furthermore, WeatherTong MCP Server supports warnings for dozens of meteorological disasters, including heavy rain, blizzards, and typhoons, with precise coverage down to the city, county, and district levels.
Regarding air quality, the service supports multi-dimensional data queries for AQI, PM2.5, PM10, and other metrics.
The system also integrates 13 categories of high-frequency civilian life indices, covering areas such as exercise, sun protection, transportation, and road condition meteorology, and supports multi-city traffic restriction queries, providing practical reference for users' daily decision-making.
In forecasting accuracy, WeatherTong leverages official meteorological data sources, a professional meteorological data system, and data capabilities validated by its user base of hundreds of millions.
It provides real-time update services covering nationwide areas.
Notably, WeatherTong MCP Server supports not only city, county, and district-level queries but also latitude-longitude grid point and POI-level weather capabilities.
Compared to traditional city-level weather queries, grid point weather can provide more granular and realistic meteorological information based on a user's specific location, destination, or point of interest.
Moving forward, WeatherTong MCP Server will continue to focus on its three core advantages: ready-to-use functionality, comprehensive features, and forecast precision.
It will continuously refine its service offerings and pricing systems to provide out-of-the-box professional weather capabilities for developers and enterprises of varying scales.
This initiative aims to empower more AI products to deliver more accurate, timely, and contextually aware intelligent services in real-life and industry scenarios.
Developers can now visit the MCP Plaza on the Alibaba Cloud Marketplace or Bailian Platform, or the plugin store on Coze, and search for "WeatherTong" to begin experiencing the service immediately.
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