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Quickstart

Get up and running with Dcycle quickly. Choose the approach that fits your use case:

API Quickstart

Build custom integrations

CLI Quickstart

Automate with scripts

MCP Quickstart

AI-assisted analysis

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Prerequisites

For all integration methods, you’ll need:
  • An account at app.dcycle.io
  • API access enabled for your organization

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API Quickstart

Build custom integrations with full programmatic control.

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Step 1: Get your API Key

1

Log in to Dcycle

Go to app.dcycle.io and log in to your account.
2

Navigate to API settings

Go to Settings → API Keys
3

Generate a new API Key

Click “Generate API Key”
The API Key is only shown once. Save it in a secure place.
4

Note your Organization ID

Copy your Organization ID from the same page.

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Step 2: Make your first API call

Calculate the emissions of a shipment: 
curl -X POST "https://api.dcycle.io/api/v1/logistics/requests" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "x-organization-id: YOUR_ORG_ID" \
  -H "Content-Type: application/json" \
  -d '{
    "origin": "Madrid, Spain",
    "destination": "Barcelona, Spain",
    "load": 1000,
    "load_unit": "kg"
  }'

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Expected Response

{
  "id": "req-123",
  "co2e": 245.5,
  "distance_km": 620.0,
  "origin": "Madrid, Spain",
  "destination": "Barcelona, Spain",
  "methodology": "ISO 14083"
}
Success! You’ve calculated your first emissions with the Dcycle API.
Explore the full API Reference →

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CLI Quickstart

Automate data uploads and manage your sustainability data from the terminal.
Early Access - The CLI is currently available for enterprise customers. Contact us to learn more.

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Step 1: Install the CLI

pip install dcycle-cli

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Step 2: Authenticate

dc auth login
This opens an interactive prompt for your email and password.

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Step 3: Set your organization

# List available organizations
dc org list

# Set your active organization
dc org set YOUR_ORG_ID

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Step 4: Explore your data

# List facilities
dc facility list

# List vehicles
dc vehicle list

# Export as JSON
dc vehicle list --format json > vehicles.json

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Step 5: Upload data

# Generate a template
dc logistics upload --type requests --template

# Upload your data
dc logistics upload viajes.csv --type requests
Success! You’re now managing sustainability data via CLI.
Explore CLI Examples →

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MCP Quickstart

Use AI assistants like Claude to query your sustainability data with natural language.
Coming Soon - The MCP Server is in private beta. Contact us for early access.

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Step 1: Install the MCP Server

# Install with pip
pip install dcycle-mcp

# Or run directly with uvx (no install needed)
uvx dcycle-mcp

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Step 2: Configure Claude

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json): 
{
  "mcpServers": {
    "dcycle": {
      "command": "uvx",
      "args": ["dcycle-mcp"],
      "env": {
        "DCYCLE_API_KEY": "your_api_key"
      }
    }
  }
}

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Step 3: Ask questions

Once configured, ask Claude about your emissions: 
"What are our total emissions for 2024?"

"Compare our Scope 1 vs Scope 2 emissions"

"Which facilities have the highest energy consumption?"

"How do our emissions this year compare to last year?"
Success! You’re now using AI-assisted sustainability analysis.
Explore MCP Tools →

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Next Steps

Authentication Deep Dive

Learn about API keys, JWT tokens, and security best practices

Core Concepts

Understand scopes, emission factors, and calculation methods

Emission Guides

Step-by-step tutorials for different emission types

Automation Patterns

CI/CD pipelines and multi-organization workflows

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Troubleshooting

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Error 401: Unauthorized

  • Verify your API key is correct and not expired
  • Check the header format matches your API version
  • Ensure your organization has API access enabled

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Error 403: Forbidden

  • Verify your Organization ID is correct
  • Check you have permissions for the requested resource

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Need more help?

Check our Support & Resources page for detailed troubleshooting and contact information.