mcpField
M
MealMasteryAI

MealMasteryAI

Local
github.com/MealMasteryAIHealth0Updated 30w ago

About MealMasteryAI

MealMasteryAI is an MCP server for using MealMastery meal-planning capabilities through natural-language interactions. It is for people managing meal plans, recipes, preferences, and grocery lists, with tools, read-only resources, and guided prompts in one integration.

Key features

  1. 01Generate and manage meal plans
  2. 02Search, save, and rate recipes
  3. 03Create and update grocery lists
  4. 04Send grocery lists to Instacart or Kroger
  5. 05Access user preferences and plan resources
  6. 06Stream meal-generation progress

Use cases

  1. 01Create a weekly meal plan around preferences
  2. 02Replace a meal in an existing plan
  3. 03Turn a meal plan into a grocery list
  4. 04Send a grocery list to a connected provider

MCP support

Exposes 24 tools, three read-only resources, and four prompt templates to MCP clients. Meal-plan generation can send progress notifications to clients that provide a progress token.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"mealmasteryai": {
"command": "npx",
"args": [
"-y",
"@mealmastery/mcp-server"
],
"env": {
"MEALMASTERY_API_KEY": "<MEALMASTERY_API_KEY>"
}
}
}
}
Run commandnpx -y @mealmastery/mcp-server
Environment variables to set
MEALMASTERY_API_KEYSecretYour MealMastery developer API key (get one at mealmastery.ai/settings)

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@mealmastery/mcp-server0.2.4

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

@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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.