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Menus Recommender

Official

by spyyps · Python

全球美食加权随机推荐:基于 396 道菜的知识库,给出多样化的就餐推荐。

io.github.spyyps/menus-recommender (MCP Server)

This MCP server provides globally themed, weighted random dining recommendations. Its description indicates it uses a knowledge base of 396 dishes to generate varied meal suggestions, aiming to recommend different eating options rather than repeating the same selection.

🛠️ Key Features

  • Weighted random recommendation of menus
  • Uses a knowledge base containing 396 dishes
  • Produces diverse dining recommendations

🚀 Use Cases

  • Suggesting different meals for users looking for variety
  • Generating dining options based on a fixed dish knowledge base

⚡ Developer Benefits

  • Deterministic basis: recommendations derived from the 396-dish knowledge base
  • Simple integration target for “menu recommendation” workflows

⚠️ Limitations

  • No tooling, topics, or other operational details are provided in the available server data beyond the description and dish-count scope.