MCP server

Carbonara freight CO2e

io.github.majidkabir/carbonara

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Freight CO2e by road, rail, sea, inland waterway and air (GLEC, ISO 14083), every step shown

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

8

Token cost

About 11,032 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http carbonara https://carbonara-co2.org/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.carbonara]
url = "https://carbonara-co2.org/mcp"

Gemini CLI

{"mcpServers":{"carbonara":{"httpUrl":"https://carbonara-co2.org/mcp"}}}

Cursor

{"mcpServers":{"carbonara":{"url":"https://carbonara-co2.org/mcp"}}}

VS Code

{"servers":{"carbonara":{"type":"http","url":"https://carbonara-co2.org/mcp"}}}

Antigravity

agy mcp add carbonara https://carbonara-co2.org/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"carbonara","server_url":"https://carbonara-co2.org/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"carbonara","server_url":"https://carbonara-co2.org/mcp"}

Tools

• calculate_shipment ~1726 tokens
  Calculates one shipment's greenhouse gas emissions (kg CO2e: well-to-wheel, tank-to-wheel, well-to-tank) following the GLEC Framework v3.2 and ISO 14083. Routes each leg's distance from its coordinates or codes. Returns the result per leg (distance and how it was found, method, data type, emission f
• calculate_shipments ~1830 tokens
  Calculates several shipments at once, each like calculate_shipment. A failing shipment doesn't stop the others; each failure says why and whether sending it again can help. Set explain to add calculation sheets (first 25 shipments).
• compare_scenario ~2483 tokens
  Calculates the shipments as they are and with changes, with the same method (GLEC v3.2, ISO 14083), and returns both totals (TTW, WTT, WTW), the difference, per change how many shipments and legs it affected and the sources of its values, and per shipment notes. Changes: road_to_rail (defaults: road
• emissions_report ~2009 tokens
  Calculates shipments and returns a report with the basic content ISO 14083 asks for at the level of transport services (GLEC v3.2 Section 2 Ch.1): coverage and failures, totals split into TTW and WTT, intensity, per mode and hub type, energy carriers, data quality (primary/modelled/default shares, s
• find_places ~264 tokens
  Finds cities, sea and inland ports, rail and road terminals, inland depots, border crossings and airports by name, UN/LOCODE or IATA code, with coordinates, from an embedded list (GeoNames, UN/LOCODE, OurAirports). Use it to fill a leg's from and to.
• get_methodology ~121 tokens
  Explains the whole method: scope (WTW, TTW, WTT), inputs, the four calculation methods with formulas, how distances are routed, distance adjustment factors, added road legs, the emission factor datasets and their sources and limitations, data quality, what every result field means, errors, and how t
• list_vehicle_types ~205 tokens
  Lists the vehicle types (and their short aliases) with their emission factors: g CO2e per tonne-km tank-to-wheel and well-to-tank, the distance type they are per, source and year, and for trucks the load model's payload (what load_factor 1 means). Optionally the fuels for the fuel method.
• recommend_routes ~2394 tokens
  For each shipment, tries road legs on rail, inland waterway and short sea, air legs by sea or rail, other sea ports and (when a load is given) fuller loads; calculates each alternative with the same method as the shipment (GLEC v3.2, ISO 14083) and returns those lower than now, best first, with tota

Browse

• GitHub tools
• Converting to Markdown
• GitHub and code hosting
• Shipping and parcels

Related MCP servers

• FreightUtils MCP Server
  Neutral freight reference + validation layer for AI agents: ADR, HS, UN/LOCODE, freight math
• SiteCheck Trade & Energy
  112 pay-per-call agent tools: logistics, shipping, trade and energy data tools. x402
• Japan Public Ledgers MCP
  Tamper-evident daily ledgers of 12 Japanese public-data domains, with cross-ledger entity search.
• FreightFA
  Freight rate benchmarks (truckload, LTL, rail, intermodal, barge), market outlooks, FMCSA checks.
• Canal Nav
  Plan canal routes on Great Britain's waterways: lock-aware timing, live closures, boat-fit checks.
• Greencalculus Api
  Sourced carbon emission factors + audit-traced calculations an AI can cite.
• Fromtocargo
  European road freight and moving prices: quotes, dated price index, glossary, order submission
• GraceRoad
  Road freight, fuel supply and sourcing in West Africa. Only the transport study is paid.

Badge for your README

[![AptLynx](https://aptlynx.net/badge/io.github.majidkabir/carbonara.svg)](https://aptlynx.net/servers/io.github.majidkabir/carbonara)

Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents