MCP Server for AI Agents: Mauna Loa CO2 Data
Content: 01897.zip (41.74 KB)
Uploaded: 12.01.2026
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$7
# MCP server for AI agents: fetch Mauna Loa CO2 data by date and lists
This automation template turns the external CO2 data API into an MCP-compatible interface accessible to AI agents. Enables agents to request ppm values by specific dates or paginated lists with filtering, directly within their context.
## Who it´s for
- AI agent developers integrating environmental data
- Scientific researchers automating CO2 data collection
- Green tech startups leveraging historical climate datasets
- MLOps engineers building contextual plugins for LLMs
## What the automation does
- Handles HTTP requests from AI agents via webhook
- Dynamically injects parameters from $fromAI() expressions for date or range filtering
- Queries data from https://api.carbondoomsday.com/api
- Supports two operations: single-date lookup and paginated list retrieval
- Returns structured JSON responses compatible with MCP and LangChain
## What´s included
- Ready-to-use n8n workflow
- Logic for handling both query types (by date and list)
- Integration with CarbonDoomsDay API and Mauna Loa Observatory Data
- Basic setup and adaptation guide
## Requirements for setup
- n8n account with access to HTTP triggers
- Access to a server environment supporting MCP-compatible nodes
- Internet connectivity to reach api.carbondoomsday.com
## Benefits and outcomes
- Simplifies integration of climate data into AI applications
- Saves time on parsing and preprocessing raw measurements
- Provides standardized MCP interface for agents
- Enables scalable, automated access without manual intervention
- Compatible with LangChain and other agent frameworks
## 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 chat
This automation template turns the external CO2 data API into an MCP-compatible interface accessible to AI agents. Enables agents to request ppm values by specific dates or paginated lists with filtering, directly within their context.
## Who it´s for
- AI agent developers integrating environmental data
- Scientific researchers automating CO2 data collection
- Green tech startups leveraging historical climate datasets
- MLOps engineers building contextual plugins for LLMs
## What the automation does
- Handles HTTP requests from AI agents via webhook
- Dynamically injects parameters from $fromAI() expressions for date or range filtering
- Queries data from https://api.carbondoomsday.com/api
- Supports two operations: single-date lookup and paginated list retrieval
- Returns structured JSON responses compatible with MCP and LangChain
## What´s included
- Ready-to-use n8n workflow
- Logic for handling both query types (by date and list)
- Integration with CarbonDoomsDay API and Mauna Loa Observatory Data
- Basic setup and adaptation guide
## Requirements for setup
- n8n account with access to HTTP triggers
- Access to a server environment supporting MCP-compatible nodes
- Internet connectivity to reach api.carbondoomsday.com
## Benefits and outcomes
- Simplifies integration of climate data into AI applications
- Saves time on parsing and preprocessing raw measurements
- Provides standardized MCP interface for agents
- Enables scalable, automated access without manual intervention
- Compatible with LangChain and other agent frameworks
## 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 chat
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