CarbonLot
An MCP-native compliance agent for the EU's Carbon Border Adjustment Mechanism (CBAM), enabling natural-language queries to validate shipments, calculate embedded emissions, and generate CBAM declarations.
README
CarbonLot 🌍
An MCP-native compliance agent for the EU's Carbon Border Adjustment Mechanism (CBAM).
Since January 2026, Indian steel, aluminium, and other CBAM-covered exporters must report verified embedded carbon emissions per shipment to the EU — or get charged a punitive default rate. That data currently lives scattered across shipment records, supplier declarations, and emission-factor tables, making it slow and error-prone to check compliance manually.
CarbonLot fixes this by treating carbon like a traceability problem, not a spreadsheet problem. Ask it "is shipment SHP001 CBAM-ready?" and it looks up the shipment's supplier, checks whether they've reported verified emissions data, falls back transparently to EU default values when they haven't, calculates the total embedded emissions, and drafts a ready-to-use CBAM declaration — all through natural conversation via MCP.
Built for the Manufacturing & Industry 4.0 Track — MCP Hackathon 2026.
Tech Stack
- NitroStack (MCP SDK + CLI)
- TypeScript
- Zod (schema validation)
- MCP Resources, Tools
What It Does
- 🔍 Validates CN codes — checks whether a shipment's product code falls within CBAM's regulatory scope
- 📊 Looks up emission sources — checks if the shipment's supplier has reported verified emissions, or if EU default values apply
- 🧮 Calculates embedded emissions — computes total CO₂e per shipment using verified supplier data where available
- 🚩 Flags fallback cases transparently — shipments with unregistered/unreported suppliers are explicitly marked as needing review, not silently defaulted
- 📄 Generates CBAM declarations — auto-drafts a structured compliance document per shipment, ready for export documentation
Project structure
src/
├── data/
│ ├── shipments.json # Shipment records (CN code, quantity, supplier, origin)
│ ├── suppliers.json # Supplier-reported emissions, pricing, delivery data
│ └── emission_factors.json # EU CBAM default emission factors by CN code
├── modules/
│ └── carbon/
│ ├── carbon.tools.ts # validate_cn_code, lookup_emission_factor,
│ │ # calculate_emissions, generate_declaration
│ ├── carbon.resources.ts # Exposes shipments/suppliers/emission-factors as MCP resources
│ └── carbon.module.ts # Registers the carbon module
├── app.module.ts # Root application module
└── index.ts
MCP Architecture
Resources (data the agent can read):
data://shipments— shipment recordsdata://suppliers— supplier-reported emissions datadata://emission-factors— CBAM default emission factors per CN code
Tools (actions the agent can perform):
validate_cn_code(shipmentId)— checks if a shipment's product falls under CBAM scopelookup_emission_factor(shipmentId)— determines whether verified supplier data or EU defaults applycalculate_emissions(shipmentId)— computes total embedded emissions (kg CO2e)generate_declaration(shipmentId)— builds the final CBAM compliance declaration
Getting Started
npm install npm run dev
Then connect via NitroStudio or your preferred MCP client, and try asking:
"Is shipment SHP001 CBAM ready?"
Honest Note on Scope
The emissions and supplier dataset used here is a realistic, hand-modelled sample (not a live ERP/ ecosystem integration) — built to demonstrate the full compliance-agent workflow end-to-end within the hackathon timeframe. Emission factor values should be verified against official CBAM implementing regulation tables before any real-world use.
Team
Built for MCP Hackathon 2026 by:
- N Samiksha
- Krishna Jayakumar
- Kashyap S
- Muhanned Jasimkhan JL
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.