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Connect Meal Ingredient Footprint Calculator to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Track the environmental cost of every ingredient you use.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

How Vinkius works: one connection, every tool, in any AI
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Meal Footprint Engine.

  1. 01

    Calculate meal totals

    Use this to aggregate the impact of multiple ingredients into one absolute footprint for an entire meal.

  2. 02

    Calculate ingredient impact

    This capability finds the specific environmental footprint for a single ingredient based on its weight and impact factors.

  3. 03

    Calculate per serving footprint

    This capability divides the total meal footprint by the number of servings to get the impact per person.

  4. 04

    Summarize footprint report

    This capability generates a high-level summary that compares different impact categories like water and carbon.

Real work

What teams actually run

01

Menu Carbon Labeling

Calculate the CO2e of a recipe to help inform customers about its environmental cost.

02

Supply Chain Auditing

Use transport factors and distances to see how shipping affects an ingredient's footprint.

03

Recipe Optimization

Compare two different ingredient sets to see which one uses less water or packaging.

04

Sustainability Reporting

Generate high-level summaries of water and carbon usage for food production analysis.

One connector, every AI

Meal Footprint Engine works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Meal Footprint Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

836ms average. Fast in production.

Meal Footprint Engine is checked daily against the live service.

Daily averagePeak 889ms
Oct 6Today
Fastest day
782ms
Slowest day
889ms
14-day trend
Improving-12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Meal Footprint Engine, so you can see the experience inside your AI.

It does not authenticate your account with Meal Footprint Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Meal Footprint Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_oIJTuoGrBvAaz6dIw8QpFwBGiWm7wciOqhkJHFkI/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Meal Footprint Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "meal-ingredient-footprint-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_oIJTuoGrBvAaz6dIw8QpFwBGiWm7wciOqhkJHFkI/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Meal Footprint Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Meal Footprint Engine owners hand off.

This MCP is built for professionals in the food science and sustainability sectors who need to quantify environmental data.

  • 01

    Sustainability Consultants

    They hand off ingredient lists to the AI to generate environmental impact reports for clients.

  • 02

    Menu Developers

    They use the AI to check how changing ingredients affects the total meal footprint.

  • 03

    Food Scientists

    They use the capability to calculate precise carbon and water metrics for specific food formulations.

FAQ

Questions Meal Footprint Engine owners ask.

  • 01

    What metrics does this MCP calculate?

    It calculates carbon emissions, water usage, packaging waste, and transport impact.

  • 02

    How do I calculate the impact of a whole meal?

    You use the calculate_meal_totals capability to sum the impact of all ingredients in the dish.

  • 03

    Can I see the impact per person?

    Yes, use the calculate_per_serving_footprint capability to divide the total impact by the number of servings.

  • 04

    Which AI clients can use this MCP?

    It works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 05

    Do I need to provide my own sustainability factors?

    Yes, you provide the specific emission, water, packaging, and transport factors for the calculation.

  • 06

    How do I calculate the impact of a single ingredient?

    You can use the calculate_ingredient_impact capability by providing the ingredient name, its weight in grams, and the specific intensity factors for emissions, water, packaging, and transport.

  • 07

    Can I see the impact per person for a recipe?

    Yes, after calculating the total meal impact, use calculate_per_serving_footprint to divide the totals by the number of servings.

  • 08

    What environmental metrics are tracked?

    The server tracks carbon emissions, water footprint, packaging waste, and transport impact.

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