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  1. Home
  2. 🌳 Environment & Nature
  3. Carbon Footprint Calculator
Carbon Footprint Calculator logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 7:31:52 PM

Carbon Footprint Calculator

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carbon-footprintsustainabilityemissionsesg

Calculates organizational Scope 1, 2, and 3 emissions from financial exports and activity data using EPA emission factors.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
We couldn’t automatically confirm this listing starts correctly

The install command below didn't complete successfully in our automated test.

uvx carbon-footprint-mcp

Downloading cryptography (4.5MiB) Downloading pydantic-core (2.0MiB) Downloaded pydantic-core Downloaded cryptography Installed 29 packages in 60ms Traceback (most recent call last): File "/home/user/.cache/uv/archive-v0/ojJ6QRXIwFbFo8eT/bin/carbon-footprint-mcp", line 6, in <module> from carbon_footprint_mcp import mcp File "/home/user/.cache/uv/archive-v0/ojJ6QRXIwFbFo8eT/lib/python3.11/site-packages/carbon_footprint_mcp/__init__.py", line 1, in <module> from .server import mcp

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 7d ago.

Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "carbon-footprint-calculator": {
      "command": "uvx",
      "args": [
        "carbon-footprint-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🌳 More in Environment & Nature

Overview

Carbon Footprint Calculator MCP server turns bank statements, Xero or QBO exports, and structured activity data into emissions calculations and reports. It runs locally, uses EPA GHG emission factors, and provides read-only tools for calculating emissions, inspecting factors, and saving HTML or Markdown reports. Use it for ESG reporting, investor diligence, or internal sustainability reviews when financial and operational inputs need to be converted into an emissions baseline.

Use cases

•Calculate emissions from bank statement CSVs
•Prepare ESG emissions reports
•Review Scope 1, 2, and 3 activity data
•Compare carbon intensity by revenue or headcount

Key features

•Calculates Scope 1, 2, and 3 emissions
•Accepts bank, Xero, and QBO exports
•Uses EPA GHG emission factors
•Generates HTML and Markdown reports
•Lists fuel, electricity, and waste factors
•Runs locally without external APIs

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Carbon Footprint Calculator.

Extracted Tool Capabilities
Calculates Scope 1, 2, and 3 emissions
Accepts bank, Xero, and QBO exports
Uses EPA GHG emission factors
Generates HTML and Markdown reports
Lists fuel, electricity, and waste factors
Runs locally without external APIs

How Carbon Footprint Calculator works

What Carbon Footprint Calculator MCP server does

Carbon Footprint Calculator MCP server calculates organizational greenhouse gas emissions from financial exports and structured operational data. It supports bank CSV files, Xero exports, QuickBooks Online exports, and directly supplied activity inputs. The resulting calculations cover Scope 1, Scope 2, and Scope 3 emissions.

The server helps associate transactions and activities with sources such as electricity, fuel, travel, shipping, waste, and refrigerants. When revenue or headcount data is provided, it can also calculate carbon-intensity scores. Results can be rendered as HTML and Markdown reports and written to a local output directory.

Emission factors come from the EPA GHG Emission Factors Hub, using the January 2025 release. The supported factor set includes eGRID 2023 electricity factors and IPCC AR5 global warming potentials.

How it works

Inputs are supplied as structured activity data or financial exports. The server maps relevant activity categories to available emission factors and calculates emissions across the three scopes. Electricity calculations use an EPA eGRID subregion, while other categories require details such as fuel type, quantity, travel mode, distance, material, or disposal method.

Supported examples include stationary and mobile combustion, refrigerant leakage, purchased electricity, purchased steam or heat, transportation and distribution, waste disposal, business travel, and employee commuting. The tool can list available fuel, electricity, and waste factors before calculations are performed.

The server operates entirely on the local machine or server. It does not send financial data to external APIs or cloud providers, and it does not store data by default. Its tools are read-only calculation and reporting operations.

Setup and configuration

Install uv, then add the server to an MCP client with the uvx carbon-footprint-mcp command. In Claude Desktop, the server can be configured with uvx as the command and carbon-footprint-mcp as its argument. The README also documents adding the same command through Claude Code or Cursor.

For local development, clone the repository, install it with pip install -e ., and run the carbon-footprint-mcp command. No API key, hosted account, or external service credential is listed as required.

Tools and capabilities

  • computeEmissions(inputs_json) calculates greenhouse gas emissions from structured activity data across all three scopes.
  • generateEmissionsReport(emissions_json, output_dir) creates HTML and Markdown reports and saves them to disk.
  • listEmissionFactors(category) lists available fuel, eGRID, and waste emission factors.
  • Carbon Footprint Calculator MCP server supports intensity scoring by revenue and headcount when those values are supplied.

Limitations and notes

The electricity benchmarking model uses EPA eGRID regional factors, even though the workflow is intended for organizations in any country. Electricity inputs therefore require an eGRID subregion. Other categories also have specific required fields, such as gallons for mobile fuel, passenger-miles for travel, and short tons plus disposal method for waste.

The server provides calculations and reports rather than automated accounting validation or external data retrieval. Transaction categorization is described as assistance with identifying likely emission sources, so source data may still require review before being used in formal reporting. The project is released under the MIT license.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit
4mo ago
Most recent push to the default branch.
Install check
Inconclusive
Install command did not finish in our automated test.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about Carbon Footprint Calculator

Install `uv`, then configure an MCP client to run `uvx carbon-footprint-mcp`. Local development is also supported with `pip install -e .` followed by `carbon-footprint-mcp`.

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Technical Specs & Signals

Category🌳Environment & Nature
PricingFree
More technical detailsExpand â–¾
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 16, 2026
6/8 checks healthy over the last 45d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit4mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 7, 2026
39Quality signal: Fair · 39/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

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Scanned 4d ago via OSV.dev · carbon-footprint-mcp (PyPI)

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More in 🌳 Environment & Nature →Alternatives to Carbon Footprint Calculator →Install in Claude DesktopInstall in CursorInstall in VS CodeSetup guides for all 13 MCP clients