The HowToCook - MCP Server is a project that transforms an AI assistant into a personal chef. Based on the HowToCook recipe data, it provides functions such as recipe query and meal recommendation for AI clients through the MCP protocol, solving the problem of 'what to eat today'.

The Tandoor MCP Server is a Model Context Protocol server for interacting with Tandoor Recipe Manager. It supports functions such as creating recipes, managing meal plans, searching for recipes, obtaining detailed information, and managing shopping lists.

A recipe query service based on the MCP protocol, supporting the retrieval of all dish lists and specific recipe information.

A recipe query tool based on the MCP client, supporting two modes: listing dish names and obtaining recipes.

This project provides an MCP service for AI assistants to interact with the Mealie recipe database, supporting access through clients such as Claude Desktop.

This project is a collection of OpenRewrite recipes for automatically converting Spring Web REST APIs into Spring AI's Model Context Protocol (MCP) server tools, enabling the migration of traditional APIs to tools accessible by AI agents.

Paprika-3-MCP is a service based on the Model Context Protocol (MCP) that allows users to access and manipulate recipe data in the Paprika 3 application through LLMs (such as Claude), supporting recipe creation and update.

This project is an MCP server that interfaces with the CyberChef Server API, allowing users to call tools and resources in CyberChef through any LLM/MCP client, including functions such as getting operation categories, executing recipe operations, and automatic decoding.

A Python - based MCP server for accessing the TheMealDB API, providing functions such as recipe search, random recommendation, and query by category/region/ingredient. It supports AI assistants to obtain cooking information through natural language interaction.

A recipe query server based on the MCP protocol, supporting recipe queries by name, ingredients, cuisine, or ID.