原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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chomptron

作者:swantron版本 1.0.0i★ –i在云端运行
注册名称io.github.swantron/chomptron

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://chomptron.com/mcp

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://chomptron.com/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 swantron 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32686 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32686 个服务器的 47% 更新
  • 基础检查结果等于或优于此分类中其他 32686 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

chomptron 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于上个月进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Microsoft Exchange Online MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

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

在云端运行★ 211前天更新
安装

Exchange Online admin for MSPs: forwarding audits, EWS posture and offboarding, no PowerShell

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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:

  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

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
  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 📚 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

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