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PopNx MCPMCP servers for people who use AI · explained in plain words

MealMasteryAI MCP

by MealMasteryAIversion 0.2.4i★ –iRuns on your computer
Registry nameio.github.MealMasteryAI/mcp-server

Install

Overview

Description from the maker (original English)

AI meal planning: generate weekly plans, manage recipes, and send groceries to Kroger.

PopNx MCP’s three pillars

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

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 on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: MEALMASTERY_API_KEY

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: MEALMASTERY_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "mealmasteryai": {
      "command": "npx",
      "args": [
        "-y",
        "@mealmastery/mcp-server"
      ],
      "env": {
        "MEALMASTERY_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add mealmasteryai --env MEALMASTERY_API_KEY=your-value -- npx -y @mealmastery/mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "mealmasteryai": {
      "command": "npx",
      "args": [
        "-y",
        "@mealmastery/mcp-server"
      ],
      "env": {
        "MEALMASTERY_API_KEY": "your-value"
      }
    }
  }
}

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": {
    "mealmasteryai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mealmastery/mcp-server"
      ],
      "env": {
        "MEALMASTERY_API_KEY": "your-value"
      }
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Values you fill in

  • MEALMASTERY_API_KEY secret required env
    Your MealMastery developer API key (get one at mealmastery.ai/settings)

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 MealMasteryAI, 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 applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32691 servers in this category
  • Published to the registry more recently than 4% of the other 32691 servers in this category
  • Basic checks equal to or better than 100% of the other 32691 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 MealMasteryAI MCP 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?

You need to fill in: MEALMASTERY_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.4) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

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

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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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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Dialyne

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Runs in the cloudUpdated 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.

@mealmastery/mcp-server

MCP server for MealMastery AI meal planning. Integrates with Claude Desktop, VS Code Copilot, and other MCP-compatible AI agents.

Philosophy

The MCP server is a mirror of core capabilities, not a place where new features debut. Its value proposition is:

"Everything you can do in the app, you can now do through natural conversation in Claude."

The MCP layer adds convenience (natural language) and composability (chaining tools), but the underlying capabilities exist in the core product first. New features should be built as API endpoints powering the web/mobile apps, then exposed through MCP -- never the other way around.

Setup

  1. Get your API key from MealMastery Settings
  2. Add to your Claude Desktop config (claude_desktop_config.json):
{

"mcpServers": { "mealmastery": { "command": "npx", "args": ["-y", "@mealmastery/mcp-server"], "env": { "MEALMASTERY_API_KEY": "mm_live_..." } } } }

Features

24 Tools

Full CRUD for meal planning, recipes, grocery lists, and user preferences -- plus AI generation with streaming progress.

3 Resources (read-only context)
Resource URIDescription
mealmastery://meal-plan/currentLatest meal plan with all meals and nutrition
mealmastery://user/preferencesDietary preferences, allergies, skill level
mealmastery://grocery-list/currentGrocery list for the current meal plan
4 Prompt Templates (guided workflows)
PromptDescription
weekly-meal-prepFull week planning: generate plan, review, grocery list, checkout
swap-mealReplace a meal in the current plan
order-groceriesPreview and send grocery list to Instacart/Kroger
quick-dinnerSingle quick meal idea with time constraints
Streaming & Progress

The generate_meal_plan tool supports MCP progress notifications. Clients that send a progressToken receive real-time updates during AI generation (0-100% progress with status messages). Clients without progress support gracefully fall back to the non-streaming endpoint.

Quota Awareness

API key quotas (daily request limits based on subscription tier) are reported on every token exchange. Free tier: 1,000 requests/day. Paid tier: 10,000 requests/day.

Available Tools

User Context
  • get_user_context - Load full user profile, preferences, subscription, and latest plan
  • get_user_preferences - Get dietary preferences and cooking settings
  • update_user_preferences - Update dietary, allergy, or cuisine preferences
  • get_subscription_status - Check subscription tier and usage limits
  • get_checkout_providers - See connected grocery providers (Instacart, Kroger)
  • checkout_grocery_list - Send a grocery list to Instacart or Kroger
Meal Planning
  • generate_meal_plan - Generate a personalized meal plan using AI (with streaming progress)
  • get_latest_meal_plan - Get the current/most recent meal plan
  • get_meal_plan - Get a specific meal plan by ID
  • list_meal_plans - Browse meal plan history
  • regenerate_meal - Replace one meal in a plan with a new AI-generated meal
  • generate_and_add_meal - Add a new AI meal to a plan at a specific slot
  • remove_meal - Remove a meal from a plan
Recipes
  • search_recipes - Search saved recipes
  • get_recipe - Get full recipe details
  • save_meal_as_recipe - Save a generated meal as a reusable recipe
  • get_favorite_recipes - Get list of favorited recipes
  • favorite_meal - Mark a meal as favorite
  • get_meal_ratings - Get ratings for meals in a plan
  • get_all_ratings - Get all-time recipe ratings
Grocery
  • generate_grocery_list - Create a grocery list from a meal plan
  • get_grocery_list - Get a specific grocery list
  • list_grocery_lists - Browse grocery list history
  • update_grocery_items - Check off, exclude, or adjust grocery items

Environment Variables

VariableRequiredDefaultDescription
MEALMASTERY_API_KEYYes-Your developer API key (mm_live_...)
MEALMASTERY_API_URLNohttps://api.mealmastery.aiAPI base URL

Security

  • API keys are exchanged for short-lived JWTs (15 min) -- never sent on data requests
  • HTTPS enforced for all non-localhost connections
  • Scope-based access control (read, write, checkout, admin)
  • Per-key daily quotas enforced server-side
  • Error messages sanitized -- no internal API details leak to the agent

Development

npm install

npm run build npm start

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