MCP server on n8n for AI agents to access Mauna Loa CO2

This automation template transforms external CO2 data from the Mauna Loa Observatory into an MCP-compatible interface for AI agents. Agents can query current and historical CO2 levels via structured HTTP requests with parameters dynamically extracted using $fromAI(). Data is sourced from the authoritative CarbonDoomsDay API.

## Who it´s for
- AI agent developers integrating environmental data
- Researchers working with CO2 trend history
- Climate-focused startups leveraging open climate datasets
- Automation engineers building MCP tools for LLMs

## What the automation does
- Transforms CarbonDoomsDay API data into an MCP-compatible format
- Handles AI agent requests via HTTP webhook and MCP trigger in n8n
- Exposes two methods: get CO2 value by date and paginated list of measurements
- Automatically extracts parameters (e.g., date) from AI input using $fromAI()
- Returns structured JSON responses preserving original API schema

## What´s included
- Ready-to-use n8n workflow with MCP trigger
- Logic for handling list and get-by-date requests
- Integrations with CarbonDoomsDay API and HTTP API
- Basic text instructions for launch and adaptation

## Requirements for setup
- n8n account with MCP functionality enabled
- Access to built-in HTTP API
- Public access to CarbonDoomsDay API
- Basic understanding of n8n nodes and $fromAI() expressions

## Benefits and outcomes
- Accelerates integration of real climate data into AI agents
- Ensures data accuracy and source credibility (Mauna Loa)
- Lowers entry barrier for creating MCP tools
- Enables agents to answer CO2-related questions with factual data

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.