chomptron

Name: chomptron
Author: swantron

by swantronversion 1.0.0i★ –iRuns in the cloud

Registry nameio.github.swantron/chomptron

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://chomptron.com/mcp

Run this in your terminal

claude mcp add --transport http chomptron https://chomptron.com/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "chomptron": {
      "url": "https://chomptron.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "chomptron": {
      "type": "http",
      "url": "https://chomptron.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://chomptron.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account swantron, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32684 servers in this category
Published to the registry more recently than 47% of the other 32684 servers in this category
Basic checks equal to or better than 100% of the other 32684 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is chomptron safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry last month.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Master CSS

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago

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Master CSS

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Inspect Master CSS classes, generated CSS, and project stylesheets from your AI client.

Runs on your computerUpdated today

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Chomptron

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

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:

Switch to `gemini-2.5-flash-lite` - Best free tier model currently available
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
Check your region - EEA, UK, and Switzerland have restricted free tier access
Monitor usage - Visit /api/usage endpoint or https://ai.dev/usage

Free Tier Limits (as of Dec 2025):

Model	Requests/Minute	Requests/Day	Best For
gemini-2.5-flash-lite	15	1,000	High-volume apps
gemini-2.5-flash	10	250	General use
gemini-2.0-flash	10	200	Legacy (unstable)
gemini-2.5-pro	2	50	Complex reasoning

Testing

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: json { "ingredients": "chicken, tomatoes, garlic", "dietaryPreferences": { "vegan": false, "vegetarian": false, "glutenFree": false, "dairyFree": false, "nutFree": false, "shellfishFree": false, "eggFree": false, "soyFree": false } }
Response: json { "success": true, "recipe": "**Recipe Name:** ...", "cached": false }

`POST /mcp` — 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 → $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

Enter your ingredients in the text area
(Optional) Select dietary preferences/allergies
Click "Generate Recipe ✨"
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 📚 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 🌙 button (top-left) to toggle dark/light mode
Preference is saved automatically

Monitoring

Health checks:

curl https://chomptron.com/health

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

View logs:

# Recent logs

gcloud run logs read chomptron --region us-central1 --limit 50

Live stream

gcloud run logs tail chomptron --region us-central1

Console dashboards:

Features

Core Functionality

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

Recipe Management

📚 Recipe history with localStorage persistence (up to 100 recipes)
⭐ Favorites system to mark and filter beloved recipes
🔍 Search and filter through saved recipes
💾 Export recipes to JSON or text format
📋 Quick access to past recipes via sidebar panel
📝 Add personal notes to each recipe
⭐ Rate recipes with 5-star rating system

Recipe Customization

🥗 Dietary Preferences & Allergies: Vegan, Vegetarian, Gluten-Free, Dairy-Free, Nut-Free, Shellfish-Free, Egg-Free, Soy-Free
📊 Recipe Scaling: Adjust serving sizes from 0.25x to 4x with automatic ingredient scaling
🖨️ Print-Friendly View: Clean print layout optimized for printing recipes
🔗 Shareable URLs: Generate shareable links for recipes (Web Share API support)

Recipe Display

📋 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

💾 Recipe Caching: In-memory cache reduces API calls for similar ingredient combinations
🔄 Smart Retry Logic: Automatic retry with exponential backoff for quota errors
⚡ Rate Limiting: Client-side rate limiting prevents excessive API calls

Technical Features

🔍 Health monitoring and readiness checks
🔎 SEO optimized with meta tags, Open Graph, Twitter Cards, and structured data
📱 PWA support with manifest.json
🤖 robots.txt and sitemap.xml for search engine indexing

Recipe Data Structure

Recipes are stored in browser localStorage with the following structure:

"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:

Cache Key: Normalized ingredients + dietary preferences
TTL: 24 hours
Max Size: 100 recipes per instance
Scope: Per-instance (serverless instances are ephemeral)
Benefits: Reduces API calls for similar requests hitting the same instance

SEO Features

Optimized for search engines and social sharing with meta tags, Open Graph, Twitter Cards, structured data (JSON-LD), sitemap, robots.txt, and PWA support.

Buildkite Pipeline

This repo includes a Buildkite pipeline at .buildkite/pipeline.yml that runs on a self-hosted GCP agent provisioned by buildkite-gcp-agent.

Pipeline structure

Push / PR

└── Three steps dispatched in parallel: ├── :prettier: Format check (npm run format -- --check) ├── :eslint: Lint (npm run lint) └── :nodejs: Tests (npm test) └── Annotate — consolidated pass/fail surfaced in the Buildkite UI

The key difference from the GitHub Actions workflow, which runs format → lint → test sequentially in a single job: these three steps have no dependencies on each other and run simultaneously. On a pool of agents this distributes the work; even on a single agent the explicit dependency graph documents intent and makes the pipeline trivially scalable.

The deploy stage is intentionally omitted — Cloud Run deployments are handled by the existing GHA workflow which holds the production GCP credentials. CI (fast feedback) and CD (production access) are kept in separate systems as a security boundary.

Pipeline setup

Connect the repo via Buildkite → New Pipeline → point at github.com/swantron/chomptron. Buildkite reads .buildkite/pipeline.yml automatically on each push.

Agent targeting

All steps run on the gcp queue:

agents:

queue: gcp

Contributing

This is a personal project, but suggestions and improvements are welcome!

License

MIT

chomptron

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Master CSS

README from the maker

Chomptron

What It Does

Local Development

Environment Variables

Model Configuration

Testing

API Endpoints

Architecture

Usage Guide

Generating Recipes

Recipe Features

Recipe History

Dark Mode

Monitoring

Live stream

Features

Core Functionality

Recipe Management

Recipe Customization

Recipe Display

Performance & Optimization

Technical Features

Recipe Data Structure

Caching Strategy

SEO Features

Buildkite Pipeline

Pipeline structure

Pipeline setup

Agent targeting

Contributing

License