RRepoGEO

REPOGEO REPORT · LITE

worryzyy/HowToCook-mcp

Default branch master · commit b444ae2d · scanned 6/7/2026, 3:37:55 AM

GitHub: 719 stars · 53 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface worryzyy/HowToCook-mcp, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify "MCP" and repo purpose in README's opening

    Why:

    CURRENT
    # 🍳 HowToCook-MCP Server 🥘 -- 炫一周好饭，拒绝拼好饭

基于Anduin2017/HowToCook打造的 MCP(Model Context Protocol)服务器，让 AI 助手能够为你推荐菜谱、规划膳食，解决"今天吃什么"的世纪难题！
    COPY-PASTE FIX
    # 🍳 HowToCook-MCP Server 🥘: Model Context Protocol (MCP) for AI Recipe Assistants

本项目是一个基于Anduin2017/HowToCook的 **Model Context Protocol (MCP) 服务器**，专为AI助手设计，旨在提供菜谱推荐、膳食规划等功能，彻底解决"今天吃什么"的难题。它将AI助手转变为你的私人大厨！
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-assistant, recipe-recommendations, meal-planning, model-context-protocol, mcp-server, howtocook, food-api, generative-ai
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    License: (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of a suitable open-source license (e.g., MIT License).

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface worryzyy/HowToCook-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Spoonacular API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Spoonacular API · recommended 2×
  2. Edamam Recipe Search API · recommended 1×
  3. TheMealDB API · recommended 1×
  4. USDA FoodData Central API · recommended 1×
  5. ChatGPT/GPT-4 · recommended 1×
  • CATEGORY QUERY
    How can I integrate recipe recommendations and meal planning into my AI assistant?
    you: not recommended
    AI recommended (in order):
    1. Spoonacular API
    2. Edamam Recipe Search API
    3. TheMealDB API
    4. USDA FoodData Central API
    5. ChatGPT/GPT-4
    6. Yummly API
    7. RecipePuppy API

    AI recommended 7 alternatives but never named worryzyy/HowToCook-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What server-side solution provides structured recipe data for AI applications?
    you: not recommended
    AI recommended (in order):
    1. Schema.org (JSON-LD)
    2. WordPress
    3. WP Recipe Maker
    4. Recipe Card Blocks by WPZOOM
    5. Strapi
    6. Contentful
    7. PostgreSQL
    8. MongoDB
    9. Spoonacular API
    10. Edamam API
    11. Node.js
    12. Express.js
    13. Mongoose
    14. Sequelize
    15. Python
    16. Django REST Framework (DRF)
    17. Flask
    18. Apollo Server
    19. Firebase Realtime Database
    20. Cloud Firestore

    AI recommended 20 alternatives but never named worryzyy/HowToCook-mcp. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of worryzyy/HowToCook-mcp?
    pass
    AI named worryzyy/HowToCook-mcp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts worryzyy/HowToCook-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named worryzyy/HowToCook-mcp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo worryzyy/HowToCook-mcp solve, and who is the primary audience?
    pass
    AI did not name worryzyy/HowToCook-mcp — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite