@mealmastery/mcp-server
MCP server for MealMastery AI meal planning that enables users to manage meal plans, recipes, and grocery lists through natural language conversation with AI agents like Claude.
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
- Get your API key from MealMastery Settings
- 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 URI | Description |
|---|---|
mealmastery://meal-plan/current |
Latest meal plan with all meals and nutrition |
mealmastery://user/preferences |
Dietary preferences, allergies, skill level |
mealmastery://grocery-list/current |
Grocery list for the current meal plan |
4 Prompt Templates (guided workflows)
| Prompt | Description |
|---|---|
weekly-meal-prep |
Full week planning: generate plan, review, grocery list, checkout |
swap-meal |
Replace a meal in the current plan |
order-groceries |
Preview and send grocery list to Instacart/Kroger |
quick-dinner |
Single 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
| Variable | Required | Default | Description |
|---|---|---|---|
MEALMASTERY_API_KEY |
Yes | - | Your developer API key (mm_live_...) |
MEALMASTERY_API_URL |
No | https://api.mealmastery.ai |
API 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
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器