RRepoGEO

REPOGEO REPORT · LITE

noopstudios/interactive-feedback-mcp

Default branch main · commit b3b96206 · scanned 5/25/2026, 1:38:14 PM

GitHub: 1,718 stars · 309 forks

AI VISIBILITY SCORE
22 /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
1 / 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 noopstudios/interactive-feedback-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
    Update README H1 and opening sentence to clarify purpose

    Why:

    CURRENT
    # Interactive Feedback MCP

Developed by Fábio Ferreira (@fabiomlferreira).
Check out dotcursorrules.com for more AI development enhancements.

Simple MCP Server to enable a human-in-the-loop workflow in AI-assisted development tools like Cursor. This server allows you to run commands, view their output, and provide textual feedback directly to the AI. It is also compatible with Cline and Windsurf.
    COPY-PASTE FIX
    # Interactive Feedback Server for AI-Assisted Coding Workflows

Developed by Fábio Ferreira (@fabiomlferreira).
Check out dotcursorrules.com for more AI development enhancements.

A simple server designed to enable human-in-the-loop feedback workflows directly within AI-assisted development tools like Cursor, Cline, and Windsurf. This server allows you to run commands, view their output, and provide textual feedback directly to the AI.
  • hightopics#2
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    ai-assisted-development, human-in-the-loop, developer-tools, feedback-system, llm-workflow, prompt-engineering, cursor-ai, ai-coding
  • mediumabout#3
    Revise the repository description

    Why:

    CURRENT
    Interactive User Feedback MCP
    COPY-PASTE FIX
    Server for human-in-the-loop feedback in AI-assisted coding tools (e.g., Cursor, Cline, Windsurf).

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 noopstudios/interactive-feedback-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Tabnine · recommended 1×
  3. CodeWhisperer · recommended 1×
  4. GitHub · recommended 1×
  5. GitLab · recommended 1×
  • CATEGORY QUERY
    How to implement human-in-the-loop feedback for AI-assisted coding tools?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. CodeWhisperer
    4. GitHub
    5. GitLab
    6. Crucible
    7. Labelbox
    8. Scale AI
    9. Surveymonkey
    10. Google Forms
    11. Sentry
    12. Mixpanel
    13. Amplitude
    14. Elasticsearch (elastic/elasticsearch)
    15. Logstash (elastic/logstash)
    16. Kibana (elastic/kibana)
    17. OpenAI API
    18. Hugging Face Transformers (huggingface/transformers)

    AI recommended 18 alternatives but never named noopstudios/interactive-feedback-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to improve AI development workflow by integrating user feedback before completion?
    you: not recommended
    AI recommended (in order):
    1. Humanloop
    2. Argilla
    3. Label Studio
    4. Weights & Biases Prompts
    5. Survicate
    6. Typeform
    7. Streamlit
    8. Dash

    AI recommended 8 alternatives but never named noopstudios/interactive-feedback-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
    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 noopstudios/interactive-feedback-mcp?
    pass
    AI did not name noopstudios/interactive-feedback-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?

  • If a team adopts noopstudios/interactive-feedback-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named noopstudios/interactive-feedback-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 noopstudios/interactive-feedback-mcp solve, and who is the primary audience?
    pass
    AI did not name noopstudios/interactive-feedback-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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noopstudios/interactive-feedback-mcp — 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