RRepoGEO

REPOGEO REPORT · LITE

Minidoracat/mcp-feedback-enhanced

Default branch main · commit 541ca1e5 · scanned 5/16/2026, 4:21:57 PM

GitHub: 3,782 stars · 349 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 Minidoracat/mcp-feedback-enhanced, 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

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

OVERALL DIRECTION
  • highreadme#1
    Add a clarifying statement about the project's domain in the README's opening

    Why:

    COPY-PASTE FIX
    # MCP Feedback Enhanced
> **Note:** While the project name 'MCP Feedback Enhanced' originates from a prior context, this enhanced fork is now specifically designed for **interactive user feedback and command execution in AI-assisted development workflows.**
**🌐 Language / 語言切換:English** | [繁體中文](README.zh-TW.md) | [简体中文](README.zh-CN.md)
**Original Author:** Fábio Ferreira | Original Project ⭐
**Enhanced Fork:** Minidoracat
**UI Design Reference:** sanshao85/mcp-feedback-collector
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    A valid URL for the project's official website, demo, or documentation.

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 Minidoracat/mcp-feedback-enhanced
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot Chat
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot Chat · recommended 1×
  2. Cursor · recommended 1×
  3. JetBrains AI Assistant · recommended 1×
  4. Tabnine · recommended 1×
  5. Codeium · recommended 1×
  • CATEGORY QUERY
    Tool for AI-assisted development feedback with both web and desktop interfaces?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Cursor
    3. JetBrains AI Assistant
    4. Tabnine
    5. Codeium
    6. CodiumAI

    AI recommended 6 alternatives but never named Minidoracat/mcp-feedback-enhanced. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to get interactive user feedback and execute commands in remote AI development environments?
    you: not recommended
    AI recommended (in order):
    1. JupyterLab / Jupyter Notebooks
    2. VS Code Remote Development
    3. Google Colaboratory (Colab) / Kaggle Notebooks
    4. tmux / GNU Screen
    5. Mosh (Mobile Shell)
    6. Ray Dashboard
    7. Streamlit / Gradio

    AI recommended 7 alternatives but never named Minidoracat/mcp-feedback-enhanced. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 Minidoracat/mcp-feedback-enhanced?
    pass
    AI named Minidoracat/mcp-feedback-enhanced explicitly

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

  • If a team adopts Minidoracat/mcp-feedback-enhanced in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Minidoracat/mcp-feedback-enhanced 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 Minidoracat/mcp-feedback-enhanced solve, and who is the primary audience?
    pass
    AI named Minidoracat/mcp-feedback-enhanced explicitly

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

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Minidoracat/mcp-feedback-enhanced — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite