On June 1st, Weibo's professional weather product, Weather Tong, officially launched the "Weather Tong MCP Server" for AI developers, and has been listed on the Alibaba Cloud Marketplace, the BaiLian Platform, and Coze. This move marks the low-barrier integration of professional, high-precision real-time weather services with the large model ecosystem, greatly helping AI applications quickly integrate professional weather capabilities.

As a professional weather MCP tool that emphasizes low-barrier access and full-function coverage, the Weather Tong MCP Server has significant advantages in service completeness. It not only includes basic real-time data such as temperature and humidity, but also comprehensively covers minute-level precipitation, 40-day long-term forecasts, and 100-day ultra-long-term forecasts. It supports dozens of municipal and district-level weather disaster warnings and 13 types of frequently used civil life indices. Technically, the tool is based on official weather data sources. In addition to supporting traditional city-level queries, it also supports grid-level latitude and longitude and POI-level weather capabilities, providing intelligent entities with more detailed and realistic environmental weather information.

Regarding costs and access efficiency, which are key concerns for developers, Weather Tong has introduced the "Weather Tong Premium Edition" on platforms such as the Alibaba Cloud Marketplace. At this stage, in addition to offering free trial quotas for beginners, it also provides extremely low-cost call quotas starting at just 1 cent per 1 million calls and tiered payment plans. At the same time, its refined tool call mechanism effectively reduces the cost of large model Tokens and supports general API access, eliminating the cumbersome process of developers having to encapsulate it themselves.

Against the backdrop of global large model applications shifting toward "real-world application," meteorological data has become a core decision-making factor in scenarios such as transportation, agriculture, and business operations. The surge in B-end demand has become a trend. The launch of the Weather Tong MCP Server, through multi-platform and multi-version service combinations, not only solves the cost pain points of AI developers during testing and large-scale application stages at an extremely low cost, but will also further accelerate the deep integration of "AI + weather" in real-life and industry scenarios.