Tandoor MCP Server
Enables interaction with Tandoor recipe management system to create, manage, and search recipes, as well as create and auto-generate meal plans with automatic ingredient and keyword creation.
README
Tandoor MCP Server
Model Context Protocol (MCP) server for Tandoor recipe and meal plan management.
Note: This project was partially developed with the assistance of Large Language Models (LLMs).
Features
- Recipe Management - List, get, create, and update recipes
- Meal Planning - Create, manage, and auto-generate meal plans
- Auto-creation - Automatically creates missing ingredients, units, and keywords
Installation
npm install -g tandoor-mcp
Or use with npx:
npx tandoor-mcp
Configuration
-
Get your API token from Tandoor:
- Settings → API Tokens → Create new token
-
Configure MCP client (e.g., Claude Desktop):
{
"mcpServers": {
"tandoor": {
"command": "npx",
"args": ["tandoor-mcp"],
"env": {
"TANDOOR_URL": "https://your-tandoor-instance.com",
"TANDOOR_TOKEN": "your-api-token"
}
}
}
}
Available Tools
Recipe Tools
list_recipes- Browse recipes with filteringget_recipe- Get recipe detailscreate_recipe- Add new recipes with steps and ingredientsupdate_recipe- Update existing recipes
Meal Planning Tools
list_meal_plans- View scheduled mealsget_meal_plan- Get meal plan detailscreate_meal_plan- Schedule a recipeupdate_meal_plan- Update meal plansdelete_meal_plan- Remove meal plansauto_meal_plan- Auto-generate meal plans by keywordslist_meal_types- List meal types (breakfast, lunch, etc.)
Development
git clone https://github.com/mc-mario/tandoor-mcp.git
cd tandoor-mcp
npm install
npm run build
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.