Climatiq MCP Server

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A Model Context Protocol (MCP) server for accessing the Climatiq API to calculate carbon emissions. This allows AI assistants to perform real-time carbon calculations and provide climate impact insights.

Demo

https://github.com/user-attachments/assets/c253d6d1-ccf6-4c14-965e-6023ba2a0296

https://github.com/user-attachments/assets/d61c1181-acf6-4d9f-9a48-537fc64ac4c3

Features

This MCP server integrates with the Climatiq API to provide carbon emission calculations for AI assistants:

Tools

set-api-key: Configure the Climatiq API key used for authentication
electricity-emission: Calculate carbon emissions from electricity consumption
travel-emission: Calculate carbon emissions from travel by car, plane, or train
search-emission-factors: Search for specific emission factors in the Climatiq database
custom-emission-calculation: Perform custom calculations using specific emission factors
cloud-computing-emission: Calculate emissions from cloud computing resources usage
freight-emission: Calculate emissions from freight transportation
procurement-emission: Calculate emissions from procurement spending
hotel-emission: Calculate emissions from hotel stays
travel-spend: Calculate emissions from travel expenses

Resources

Carbon calculation results are exposed as resources with a climatiq://calculation/{id} URI scheme
Each resource contains detailed information about an emission factor and calculation results

Prompts

climate-impact-explanation: Generate natural language explanations about the climate impact of specific emission calculations

Installation

From Source

This project uses uv for virtual environment and dependency management. Make sure to install uv first.

# Clone the repository
git clone https://github.com/your-org/climatiq-mcp-server.git
cd climatiq-mcp-server

# Create a virtual environment
uv venv

# Activate the virtual environment
# On macOS/Linux:
source .venv/bin/activate
# On Windows:
.venv\Scripts\activate

# Install dependencies with development extras
uv sync --dev --extra all

Using uv

uv pip install climatiq-mcp-server

API Key Configuration

The server requires a Climatiq API key to function. You have several options to provide it:

Environment Variable: Set the CLIMATIQ_API_KEY environment variable before starting the server
export CLIMATIQ_API_KEY=your_climatiq_api_key
Configuration During Installation:
CLIMATIQ_API_KEY=your_climatiq_api_key uv pip install climatiq-mcp-server
set-api-key Tool: Use the set-api-key tool to configure it during runtime within the AI assistant
Configuration File: Create a .env file in the project directory:
CLIMATIQ_API_KEY=your_climatiq_api_key

To get a Climatiq API key:

Sign up at app.climatiq.io
Follow the instructions at Getting API Keys

Running the Server

The server can be started directly from the command line:

climatiq-mcp-server

Setup in AI Assistants

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

"mcpServers": {
  "climatiq-mcp-server": {
    "command": "climatiq-mcp-server",
    "env": {
      "CLIMATIQ_API_KEY": "your_climatiq_api_key"
    }
  }
}

Examples and Utilities

Examples Directory

The examples/ directory contains:

climatiq.ipynb: A Jupyter notebook demonstrating direct API usage with Climatiq
simple_test.py: A simple utility for testing the API integration directly without MCP protocol

# Run the simple test
python examples/simple_test.py

Utility Scripts

The utils/ directory contains several helpful scripts:

Test Client

The test_client.py script tests all the tools, prompts, and resources:

python utils/test_client.py

LLM Example Client

The llm_example_client.py script demonstrates how a Large Language Model (like Claude) could interact with the Climatiq MCP server:

python utils/llm_example_client.py

Key features:

Complete API wrapper with error handling and timeout management
Resource and result caching to preserve calculation history
Example prompts showing how to generate natural language explanations
Demonstrates electricity emission, travel emission, and emission factor search capabilities

CLI Tool

A command-line interface tool for direct API access without the MCP server complexity:

# For electricity emissions
python utils/climatiq_cli.py electricity --energy 1000 --unit kWh --region US

# For travel emissions
python utils/climatiq_cli.py travel --mode car --distance 100 --unit km --region US

Run MCP Server Script

Use the run_mcp_server.py script to directly run the server without installing:

python utils/run_mcp_server.py

Key Concepts

Activity IDs

An Activity ID is a key concept in Climatiq's API that groups similar emission factors together:

Each emission factor in the Climatiq database has an activity ID
Activity IDs group emission factors describing the same activity across regions, years, sources, etc.
Examples: electricity-supply_grid-source_residual_mix (electricity), passenger_vehicle-vehicle_type_car (car travel)

Calculation Methods

The Climatiq MCP server supports multiple calculation methods:

Distance-based method for travel emissions
Advanced travel calculations with origin-destination pairs
Spend-based method for when you only have expenditure data
Direct calculations using specific emission factors

Troubleshooting

API Key Issues

Ensure CLIMATIQ_API_KEY is set correctly in your environment or .env file
Verify the API key is active in your Climatiq dashboard
Use examples/simple_test.py to check if your API key works correctly

Advanced Usage

For detailed documentation on using specific tools and advanced features, see the docs/README.md file.

About Climatiq

Climatiq provides a powerful API for carbon intelligence, allowing you to calculate emissions from electricity usage, transportation, procurement, and more. This MCP server makes those capabilities accessible to AI assistants through the Model Context Protocol.

For more information about Climatiq, visit climatiq.io.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Integrations