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Carbon Footprint Calculator

mayanktalwar0/carbon-footprint-mcp
STDIOregistry active
Summary

This server turns bank statements and accounting exports into EPA-aligned carbon footprint reports without sending financial data anywhere. It exposes three MCP tools: computeEmissions ingests structured activity data and calculates Scope 1, 2, and 3 emissions using EPA GHG factors and eGRID 2023 electricity benchmarks, listEmissionFactors surfaces available fuel and waste coefficients, and generateEmissionsReport renders HTML and Markdown outputs with intensity scoring by revenue or headcount. You'd reach for this when preparing ESG reports or sustainability baselines from Xero, QuickBooks, or CSV exports. Everything runs locally, reads financial records, and maps transactions to emission sources like fuel, travel, electricity, and waste.

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Carbon Footprint Calculator (MCP Server)

An MCP (Model Context Protocol) server for calculating organizational carbon footprints from bank statements, financial exports, and structured activity data using EPA GHG emission factors.

Privacy and security first

  • Runs 100% locally on your machine or server
  • Sends no financial data to external APIs or cloud providers
  • Stores no data by default
  • Exposes read-only calculation and reporting tools
  • Works with Claude Desktop, Cursor, and other MCP clients

Why This Exists

If you are preparing ESG reporting, investor diligence materials, or internal sustainability reviews, getting to a usable emissions baseline is usually slow and manual.

This server helps turn raw bank statements, Xero or QBO exports, and structured operational inputs into a carbon footprint report in minutes. It maps activities to EPA-aligned emission factors and produces both HTML and Markdown outputs.

The user experience is designed to work for organizations in any country, while the current electricity benchmarking still uses EPA eGRID regional factors under the hood.

What It Does

  1. Ingests bank CSVs, Xero or QBO exports, and structured activity data.
  2. Helps categorize transactions into likely emission sources such as electricity, fuel, travel, shipping, and waste.
  3. Computes Scope 1, Scope 2, and Scope 3 emissions using EPA GHG emission factors.
  4. Scores carbon intensity by revenue and headcount when those inputs are provided.
  5. Generates polished HTML and Markdown reports.

Emission Factor Source

All emission factors are based on the EPA GHG Emission Factors Hub (January 2025), including eGRID 2023 electricity factors and IPCC AR5 global warming potentials.

Covered categories include stationary combustion, mobile combustion, electricity, steam or heat, transportation, waste disposal, business travel, employee commuting, and refrigerants.

Installation

Claude Desktop

  1. Install uv.
  2. Open Claude Desktop settings and edit the MCP config.
  3. Add this server:
{
  "mcpServers": {
    "carbon-footprint": {
      "command": "uvx",
      "args": ["carbon-footprint-mcp"]
    }
  }
}
  1. Restart Claude Desktop.

Claude Code or Cursor

claude mcp add carbon-footprint -- uvx carbon-footprint-mcp

Local Development

git clone https://github.com/MayankTalwar0/carbon-footprint-mcp.git
cd carbon-footprint-mcp
pip install -e .
carbon-footprint-mcp

Available MCP Tools

ToolDescription
computeEmissions(inputs_json)Computes GHG emissions from structured activity data across all 3 scopes.
generateEmissionsReport(emissions_json, output_dir)Renders a polished HTML and Markdown report and saves it to disk.
listEmissionFactors(category)Lists available fuel, eGRID, and waste emission factors.

Supported Emission Categories

ScopeCategoryInput Required
1Stationary CombustionFuel type and quantity
1Mobile CombustionFuel type and gallons
1Refrigerant LeakageGas type, leaked kg, and GWP
2Purchased ElectricitykWh and eGRID subregion
2Purchased Steam or HeatmmBtu
3Transportation and DistributionVehicle type and distance
3Waste DisposalMaterial, short tons, and disposal method
3Business TravelTravel mode and passenger-miles
3Employee CommutingCommute mode and passenger-miles

Carbon Intensity Scoring

ScoretCO2e per $1M RevenueInterpretation
Excellent< 5Best-in-class for low-footprint operations
Good5-20Low intensity
Moderate20-100Typical for services and tech
High100-500Heavy operations
Very High> 500Very high intensity

License

MIT

Built By SlickBooks

Built by Mayank, founder of SlickBooks.

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Registryactive
Packagecarbon-footprint-mcp
TransportSTDIO
UpdatedMay 7, 2026
View on GitHub