Access CO2 Data via CarbonDoomsDay API for AI Agents

Exposes CarbonDoomsDay API's CO2 measurement endpoints as an MCP server for easy AI agent integration. Retrieve historical Mauna Loa CO2 data with simple GET requests.

n8n
Access CO2 Data via CarbonDoomsDay API for AI Agents

This n8n workflow transforms the CarbonDoomsDay API into an MCP-compatible server, enabling AI agents to effortlessly access CO2 measurement data from the Mauna Loa observatory. It supports two key operations: GET /co2/ for general measurements and GET /co2/{date}/ for specific date-based queries, sourcing data from CSV files dating back to 1958. The workflow uses an MCP Trigger node as the entry point, HTTP Request nodes to call the API at https://api.carbondoomsday.com/api, and AI Expressions with $fromAI() placeholders for dynamic parameter handling.

Setup is straightforward: import the workflow, add CarbonDoomsDay credentials, activate it to launch the MCP server, copy the webhook URL, and connect your AI agents. This eliminates the need for custom API wrappers or complex integrations, providing native responses directly back to agents. Benefits include rapid data access for environmental analysis, climate modeling, and sustainability reporting without managing authentication or pagination manually.

Ideal use cases span business intelligence, AI-driven research, and green tech applications. For instance, integrate with LLMs for real-time CO2 trend analysis, feed data into dashboards for corporate ESG reporting, or automate alerts for emission thresholds. By leveraging n8n's no-code power, it saves hours of development time while ensuring reliable, scalable access to high-quality public scientific data.

$14.99
Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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