AI-Powered Freight Emissions · MCP Integration

Don't let AI guess
your emissions.
Let AI use TerraTwin.

TerraTwin MCP connects ChatGPT, Claude, and Copilot directly to a real emissions engine — so your team gets AI speed without sacrificing the rigour your reporting requires.

Accredited & aligned with
GLEC FrameworkISO 14083:2023EU CSRDScience Based Targets
Trusted by leading logistics brands
Active BrandsBootsDahl OptimeraDomino'sJ.LindebergAhlsellEkornesKärcherMieleMøller
The problem

Why AI alone can't be trusted with your emissions

Generic AI can write a freight emissions report in seconds. That doesn't mean it should calculate one. Without a dedicated system behind it, you get answers that sound confident but carry real risk.

❌ Prompt-only AI

Assumptions you never approved

Language models fill gaps with plausible-sounding logic — not your methodology. Every user gets a different answer based on how they phrased the question.

❌ Inconsistent outputs

Hard to defend in audits

Emissions figures that vary by team, by prompt, by day. When a regulator or customer asks where the number came from, prose can't substitute for a calculation trace.

❌ No transport logic

Multimodal chains are complex

Road, rail, air, sea, hubs — and the combinations between them. General AI doesn't have structured transport logic. TerraTwin was built for exactly this.

❌ Risky for reporting

Customer and compliance exposure

Using AI-generated emissions in customer reports or CSRD submissions without a governed engine behind them is a liability waiting to happen.

The solution

AI becomes the interface.
TerraTwin remains the engine.

TerraTwin MCP is the connection layer between your AI tools and TerraTwin's emissions calculation capabilities. Instead of asking a model to figure out emissions from scratch, it calls TerraTwin directly — retrieves structured, methodology-backed results — and uses language to explain, summarise, and act on them.

Works today with ChatGPT, Claude, and Microsoft Copilot — and across any MCP-compatible AI tool.

How it works

🤖

Your AI assistant

ChatGPT · Claude · Copilot

MCP

TerraTwin MCP Server

mcp.terratwin.com/mcp

🌍

TerraTwin Emissions Engine

Structured · Traceable · Audit-ready

Result: AI retrieves structured emissions data, explains it in plain language, and turns it into reports, summaries, and workflow actions.
What you can do

One connection. Many use cases.

TerraTwin MCP unlocks emissions intelligence across your operations, sustainability, and commercial workflows — all from your AI chat interface.

📐

Calculate

  • Estimate emissions for shipments and transport chains
  • Compare route and mode alternatives
  • Run what-if scenarios before committing
🔍

Understand

  • Ask why emissions changed between periods
  • Break down by leg, mode, carrier, or hub
  • Translate outputs into plain business language
📄

Report

  • Draft customer-ready emissions summaries
  • Prepare internal sustainability narratives
  • Turn structured results into tailored comms
⚙️

Automate

  • Build repeatable AI workflows across teams
  • Connect TerraTwin into internal AI assistants
  • Use the same MCP across multiple AI clients
See it in action

Ask in plain English.
Get audit-ready numbers.

Your AI agent understands the question, calls the TerraTwin MCP server, and returns structured emissions data — all in a single turn.

  • Compare the carbon footprint of shipping 20 tonnes from Shanghai to Rotterdam by sea vs. air

  • What is the lowest-emission route for my weekly European road distribution network?

  • Generate a scope 3 emissions summary for my Q2 freight spend and format it as a CSV

Claude — TerraTwin MCP connected
Compare CO₂ for 5 tonnes, Shanghai to Hamburg: sea vs air
Called terratwin.calculateEmissions

Here's the comparison for 5 tonnes, Shanghai → Hamburg:

Sea freight (45 days)0.31 tCO₂e
Air freight (2 days)7.6 tCO₂e

Sea freight emits 96% less CO₂. Calculated via ISO 14083 methodology.

Why TerraTwin MCP

From best guess
to governed execution

Side by side, the difference is clear. TerraTwin MCP gives AI a backbone your reporting can actually stand on.

Capability❌ Prompt-only AI✅ TerraTwin MCP
Source of calculationGeneral model trainingTerraTwin's emissions engine
MethodologyInvented on the flyConsistent, structured, traceable
Output formatProse that looks rightStructured data + plain language
Consistency across your teamVaries by promptSame engine, every time
Transport mode coverageApproximate at bestAir, rail, road, sea, multimodal
Fit for audits & complianceRiskyDesigned for it
Why trust TerraTwin

Built for freight emissions.
Not general-purpose AI theater.

TerraTwin is purpose-built for freight carbon calculations — a dedicated system built from the ground up for the complexity of freight, not a general tool adapted for sustainability.

Purpose-built for freight

Designed specifically for freight forwarders, shippers, and logistics providers — not retrofitted from a general carbon tool.

GLEC & ISO 14083:2023 aligned

Methodology aligned with the GLEC Framework and ISO 14083:2023 for audit-ready, defensible emissions reporting.

Structured API outputs

Not generated prose — structured data from a real calculation engine that integrates into your existing workflows.

All core transport modes

Air, rail, road, water, weighted modes, and hub operations — including full multimodal transport chains.

CSRD & SBTi ready

Outputs designed to support CSRD disclosure requirements and Science Based Targets reporting frameworks.

Trusted by leading logistics brands

Used by freight forwarders, shippers, and logistics providers who need both usability and rigour at scale.

How to start

Set up in minutes
with a custom connector

TerraTwin MCP is available today. Connect your AI client in three steps using your TerraTwin API key.

1

Generate your TerraTwin API key

Log in to TerraTwin → Account Home → Manage API Keys → Generate a new key.

2

Add TerraTwin as a custom MCP connector

Open your AI client and add a new custom connector. Use the TerraTwin MCP server URL in the tab to the right.

3

Authenticate and start calculating

Paste your API key when prompted. TerraTwin tools are now available directly from your AI chat.

🔜

Coming soon: OAuth 2.1 sign-in and one-click connection via AI client connector stores.

Go to Settings → Connectors → Add custom connector and enter the server URL:

MCP Server URL
https://mcp.terratwin.com/mcp

Or via Claude Code CLI:

$ claude mcp add --transport http \
terratwin https://mcp.terratwin.com/mcp
FAQ

Common questions

What is TerraTwin MCP?

It's the connection layer that lets AI assistants use TerraTwin's emissions calculation engine instead of relying on the model's own reasoning. AI handles the conversation. TerraTwin handles the calculation.

Why not just ask ChatGPT or Claude directly?

You can — but a language model alone will generate an answer, not calculate one. Freight emissions require transport logic, consistent methodology, and structured outputs. TerraTwin MCP gives AI a governed engine behind every result.

Which AI tools does it work with?

Today: ChatGPT, Claude, and Microsoft Copilot. Any MCP-compatible tool can connect using the custom connector flow. More integrations are coming as the ecosystem expands.

What transport modes are supported?

TerraTwin covers air, rail, road, water, weighted modes, and hub operations — including full multimodal transport chains across global networks.

How do I authenticate?

Using a personal TerraTwin API key, generated from your account area under Manage API Keys. Service accounts for team-level access are planned for a future release.

What changes when OAuth launches?

Connection becomes one click — no manual URL entry or API key management. Your TerraTwin account handles authentication directly through the AI client's connector store.

Get started

Bring trusted emissions intelligence
into your AI workflows

Stop letting AI guess. Start letting it calculate — with TerraTwin behind it.