Carbon Footprint Calculator
Estimate carbon footprints from bank statement transactions using EPA GHG factors inside your agent for sustainability reporting and insights.
Overview
carbon-footprint-mcp is an MCP server for the Grow phase that estimates carbon footprints from bank statements using EPA GHG emission factors.
What is this MCP server?
- Calculates carbon footprints from bank statement inputs
- Uses EPA GHG emission factors for category-based estimates
- PyPI carbon-footprint-mcp via uvx stdio MCP server
- Version 1.0.1 server manifest (package 1.0.0)
- Finance and sustainability MCP tool, not a certified carbon auditor
- Server description version 1.0.1; PyPI package listed at 1.0.0
- stdio transport with uvx runtime hint
- Emission methodology: EPA GHG emission factors
What problem does it solve?
You have transaction CSVs or statement data but no fast way to attach EPA-backed emissions estimates inside your agent workflow.
Who is it for?
Indie fintech or climate-app builders who want EPA-factor-based footprint math from statements without maintaining factor libraries manually.
Skip if: Enterprises needing audited Scope 3 compliance sign-off, or builders with no bank or transaction data to analyze.
What do I get? / Deliverables
Your agent can compute category-level carbon footprint estimates from bank activity for analytics features and reporting drafts.
- MCP-invokable carbon estimates derived from statement transactions
- Reusable EPA GHG factor mapping for agent-side analytics prototypes
- Footprint summaries suitable for dashboards, demos, or growth content
Recommended MCP Servers
Journey fit
After you have users and financial activity, analytics-phase tools turn raw spend data into metrics founders can report, market, or optimize. Analytics subphase is where transaction-derived KPIs and footprint summaries support growth narratives and customer-facing dashboards.
How it compares
MCP calculator using EPA GHG factors, not a full ESG reporting platform or banking API product.
Common Questions / FAQ
Who is carbon-footprint-mcp for?
Solo developers building finance or sustainability agents who need transaction-to-emissions estimates via MCP.
When should I use carbon-footprint-mcp?
Use it during analytics and growth work when you are turning bank statements into carbon metrics for users or internal dashboards.
How do I add carbon-footprint-mcp to my agent?
Register the stdio server with uvx running the carbon-footprint-mcp PyPI package per the published MCP server entry.