OpenWeatherMap Weather Data API | Boost.space
Boost.space Secures $6,5M Seed Round:
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Integration & MCP for OpenWeatherMap

Integrate and automate your OpenWeatherMap workflows across 2,580 tools. Take full control—use your favorite LLM to orchestrate OpenWeatherMap and make your data and tools truly work for you, not the other way around.

OpenWeatherMap MCP
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Weather Insights Revolutionize Operational Efficiency

Connecting OpenWeatherMap via MCP centralizes weather data workflows, effectively removing operational barriers for industries reliant on weather insights by automating updates and analytics within Boost.space. This integration empowers teams to make data-driven decisions and optimize operations with real-time insights, ultimately preparing the business for true AI-readiness through enhanced data management and analysis capabilities.

Supported MCP tools

Connect insights. Empower action. With MCP, OpenWeatherMap becomes the engine for truly collaborative work.
Can play scenarios
Can list scenarios
So you can execute these actions with OpenWeatherMap MCP:

Get current weather

Returns current weather information for a specified location.

Get weather forecast

Returns 1-16 days weather forecast for a specified location.
Book a demo
How to use MCP with OpenWeatherMap
Create scenario with on-demand trigger
Generate your MCP API Key
Insert MCP API Key in your favourite LLM in instructions
The Boost.space MCP integration with OpenWeatherMap offers a robust suite of benefits designed to streamline weather data management. By centralizing weather data workflows, it automates updates and analytics, ensuring users have real-time insights at their fingertips. This integration facilitates unique workflows by allowing the seamless connectivity of weather data to thousands of other applications, enabling businesses to optimize operations based on accurate, timely weather conditions. Automated actions can trigger alerts or adjust operational procedures based on predefined weather parameters, enhancing responsiveness and efficiency. Furthermore, AI-powered impact analysis uses this integrated data to forecast trends and improve decision-making processes. With the ability to manage diverse data types, such as temperature, humidity, and precipitation, Boost.space’s integration with OpenWeatherMap ensures comprehensive data utilization and operational optimization.