This workflow creates a real-time REST-like API for accessing carbon dioxide (CO2) levels worldwide, specifically designed for integration with AI agents. It transforms the CarbonDoomsDay API into an MCP-compatible interface, allowing AI systems to request and receive up-to-date CO2 data seamlessly.
The workflow begins with an MCP trigger node that acts as a webhook endpoint—the MCP (Multi-Channel Protocol) trigger. When an AI agent or external system makes a request to this webhook, the workflow activates. Two main HTTP request nodes handle the core API interactions: one fetches a list of CO2 measurements with various filtering options, and the other retrieves specific CO2 data for a given date.
The ‘List CO2 Measurements’ node enables querying the API with customizable parameters like ppm, date range, pagination, and ordering, all dynamically populated through AI expressions ($fromAI()). The ‘Get CO2 Measurement by Date’ node fetches detailed data for a single specified date.
This setup is ideal for environmental monitoring applications, AI-driven scientific analysis, or automated dashboards that need access to current carbon dioxide levels without manual API calls. The workflow can be customized with additional data processing, logging, or error handling as needed.
In summary, it is a scalable, automated solution enabling real-time environmental data access via an n8n workflow, integrated with AI workflows or external systems.
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