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Chomptron

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Generate a recipe from ingredients on hand, with optional dietary restrictions. Free.

Quick Install

Automated & IDE Setup

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

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for chomptron, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Chomptron

watchtron

AI-powered recipe generator that transforms ingredients into delicious recipes using Google Gemini AI. Deployed on Google Cloud Run at chomptron.com.

What It Does

Enter ingredients you have in your kitchen, and Chomptron generates creative, practical recipes complete with measurements, instructions, cooking time, and serving sizes.

Local Development

Terminal
npm install
export GEMINI_API_KEY="your-api-key-here"
export GEMINI_MODEL="gemini-3.1-flash-lite"  # Optional, defaults to gemini-3.1-flash-lite
npm start

Visit http://localhost:8080

Get API key: https://makersuite.google.com/app/apikey

Environment Variables

  • GEMINI_API_KEY (required) - Your Google Gemini API key
  • GEMINI_MODEL (optional) - Model to use, defaults to gemini-3.1-flash-lite
  • PORT (optional) - Server port, defaults to 8080

Model Configuration

The Gemini model can be configured via the GEMINI_MODEL environment variable:

Recommended Models (as of December 2025):

  • gemini-3.1-flash-lite (default) - Best free tier limits: 15 RPM, 1,000 RPD
  • gemini-2.5-flash - 10 RPM, 250 RPD
  • gemini-2.0-flash - 10 RPM, 200 RPD (⚠️ unstable quota, often shows limit: 0)
  • gemini-1.5-flash - Legacy model, may have better limits than 2.0

December 2025 Quota Shift:

Google overhauled free tier quotas in December 2025:

  • gemini-2.0-flash was removed from fully unauthenticated free tier
  • Many accounts see limit: 0 errors for newer models without billing enabled
  • Free tier quotas don't automatically reset monthly

Fixing "Limit: 0" Errors:

If you're seeing quota errors with limit: 0:

  1. Switch to gemini-2.5-flash-lite - Best free tier model currently available
  2. Enable billing (Pay-As-You-Go) - Linking a credit card (even if you don't spend) moves you from "Limited Free" to "Tier 1" and unlocks promised free quotas
  3. Check your region - EEA, UK, and Switzerland have restricted free tier access
  4. Monitor usage - Visit /api/usage endpoint or https://ai.dev/usage

Free Tier Limits (as of Dec 2025):

ModelRequests/MinuteRequests/DayBest For
gemini-2.5-flash-lite151,000High-volume apps
gemini-2.5-flash10250General use
gemini-2.0-flash10200Legacy (unstable)
gemini-2.5-pro250Complex reasoning

Testing

Terminal
npm test

Tests validate:

  • Modular File Structure: Verification of external styles.css and app.js linking
  • CI/CD & DevOps: Docker and Cloud Build configurations
  • API Integrity: Health check endpoints (/health, /ready) and recipe generation
  • Feature Robustness: Recipe history, scaling logic, and favorites

API Endpoints

  • GET /health - Liveness check, returns service status

  • GET /ready - Readiness check, verifies AI configuration and shows current model

  • GET /api/usage - Usage statistics (total requests, quota errors, model info)

  • POST /api/generate-recipe - Main recipe generation endpoint

    • Request Body:
      config.json
      {
        "ingredients": "chicken, tomatoes, garlic",
        "dietaryPreferences": {
          "vegan": false,
          "vegetarian": false,
          "glutenFree": false,
          "dairyFree": false,
          "nutFree": false,
          "shellfishFree": false,
          "eggFree": false,
          "soyFree": false
        }
      }
      
    • Response:
      config.json
      {
        "success": true,
        "recipe": "**Recipe Name:** ...",
        "cached": false
      }
      
  • POST /mcp β€” MCP Streamable HTTP. Tool generate_recipe (ingredients + optional dietary flags). Unauthenticated. Daily cap MCP_DAILY_RECIPE_LIMIT (default 20), persisted to MCP_BUDGET_FILE so a process restart on the same instance does not reset it.

Architecture

Chomptron is built as a serverless application on Google Cloud Run for cost efficiency and automatic scaling.

Tech Stack:

  • Backend: Node.js 24 + Express
  • AI: Google Gemini (configurable model, defaults to gemini-3.1-flash-lite)
  • Frontend: Modular Vanilla HTML/CSS/JavaScript (Clean separation of concerns)
  • Storage: Browser localStorage for recipe history
  • Platform: Google Cloud Run (serverless)
  • CI/CD: Cloud Build
  • Domain: chomptron.com

Why Serverless?

  • Scales to zero when idle β†’ $0 cost (vs. $5-50/month traditional hosting)
  • Auto-scales from 0 to 1000+ instances based on traffic
  • Zero maintenance - no servers to manage, patch, or configure
  • Perfect for AI workloads - handles burst traffic and CPU-intensive recipe generation efficiently

Performance Optimizations:

  • In-Memory Caching: Per-instance recipe cache (24-hour TTL, max 100 recipes)
  • Structured Recipe Parsing: Extracts recipe components for better display and scaling
  • Client-Side Rate Limiting: Prevents excessive API calls
  • Smart Retry Logic: Handles quota errors gracefully with exponential backoff

Usage Guide

Generating Recipes

  1. Enter your ingredients in the text area
  2. (Optional) Select dietary preferences/allergies
  3. Click "Generate Recipe ✨"
  4. View your structured recipe with:
    • Recipe name and metadata
    • Scaled ingredients list
    • Step-by-step instructions
    • Cooking tips

Recipe Features

  • Scale Servings: Use +/- buttons to adjust serving size (0.25x to 4x)
  • Rate Recipes: Click stars to rate recipes (1-5 stars)
  • Add Notes: Type personal notes in the notes field
  • Favorite: Click the star button to favorite recipes
  • Print: Click print button for print-friendly view
  • Share: Click share button to generate shareable URL

Recipe History

  • Click the πŸ“š button (top-right) to open recipe history
  • Search recipes by name, ingredients, or content
  • Filter by favorites
  • Export all recipes as JSON or text
  • Click any recipe to reload it

Dark Mode

  • Click the πŸŒ™ button (top-left) to toggle dark/light mode
  • Preference is saved automatically

Monitoring

Health checks:

Terminal
curl https://chomptron.com/health
curl https://chomptron.com/ready
curl https://chomptron.com/api/usage  # View usage statistics

View logs:

bash
# Recent logs
gcloud run logs read chomptron --region us-central1 --limit 50

# Live stream
gcloud run logs tail chomptron --region us-central1

Console dashboards:

  • Cloud Run Service
  • Cloud Build History
  • Artifact Registry

Features

Core Functionality

  • ✨ AI-powered recipe generation using Google Gemini
  • 🍳 Creative recipe names and instructions
  • πŸ“ Precise measurements and serving sizes
  • ⏱️ Cooking time estimates (prep, cook, total time)
  • 🎨 Modern Visual Polish: Glassmorphism design with staggered entrance animations
  • πŸ”  Premium Typography: Outfit and Inter fonts for a contemporary feel
  • ⚑ Serverless, auto-scaling infrastructure on Google Cloud Run

Recipe Management

  • πŸ“š Recipe history with localStorage persistence (up to 100 recipes)
  • ⭐ Favorites system to mark and filter beloved recipes
  • πŸ” Search and filter through saved recipes
  • πŸ’Ύ Export recipes to JSON or text format
  • πŸ“‹ Quick access to past recipes via sidebar panel
  • πŸ“ Add personal notes to each recipe
  • ⭐ Rate recipes with 5-star rating system

Recipe Customization

  • πŸ₯— Dietary Preferences & Allergies: Vegan, Vegetarian, Gluten-Free, Dairy-Free, Nut-Free, Shellfish-Free, Egg-Free, Soy-Free
  • πŸ“Š Recipe Scaling: Adjust serving sizes from 0.25x to 4x with automatic ingredient scaling
  • πŸ–¨οΈ Print-Friendly View: Clean print layout optimized for printing recipes
  • πŸ”— Shareable URLs: Generate shareable links for recipes (Web Share API support)

Recipe Display

  • πŸ“‹ Structured Recipe Format: Parsed display with organized sections:
    • Recipe name
    • Serving size and timing information
    • Ingredients list
    • Step-by-step instructions
    • Cooking tips
  • 🎨 Dark/Light Mode: Toggle between themes with persistent preference

Performance & Optimization

  • πŸ’Ύ Recipe Caching: In-memory cache reduces API calls for similar ingredient combinations
  • πŸ”„ Smart Retry Logic: Automatic retry with exponential backoff for quota errors
  • ⚑ Rate Limiting: Client-side rate limiting prevents excessive API calls

Technical Features

  • πŸ” Health monitoring and readiness checks
  • πŸ”Ž SEO optimized with meta tags, Open Graph, Twitter Cards, and structured data
  • πŸ“± PWA support with manifest.json
  • πŸ€– robots.txt and sitemap.xml for search engine indexing

Recipe Data Structure

Recipes are stored in browser localStorage with the following structure:

config.json
{
  "id": "timestamp",
  "ingredients": "chicken, tomatoes, garlic",
  "recipe": "Full recipe text...",
  "recipeName": "Extracted recipe name",
  "timestamp": "2025-01-01T00:00:00.000Z",
  "favorite": false,
  "rating": 0,
  "notes": "",
  "servingSize": 4,
  "dietaryPreferences": {
    "vegan": false,
    "vegetarian": false,
    "glutenFree": false,
    "dairyFree": false,
    "nutFree": false,
    "shellfishFree": false,
    "eggFree": false,
    "soyFree": false
  }
}

Caching Strategy

The application uses in-memory caching on the server side:

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Chomptron

We don't have a confirmed install command for chomptron yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/swantron/chomptron) for the current steps.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
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Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

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

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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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