RRepoGEO

REPOGEO REPORT · LITE

MCP-UI-Org/mcp-ui

Default branch main · commit 33de6b6e · scanned 6/27/2026, 1:01:35 AM

GitHub: 4,962 stars · 381 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 MCP-UI-Org/mcp-ui, 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
    Reposition the README's opening paragraph to clarify its core purpose for AI/LLM UIs

    Why:

    CURRENT
    `mcp-ui`** pioneered the concept of interactive UI over MCP, enabling rich web interfaces for AI tools. Alongside Apps SDK, the patterns developed here directly influenced the MCP Apps specification, which standardized UI delivery over the protocol. The `@mcp-ui/*` packages implement the MCP Apps standard. `@mcp-ui/client` is the recommended SDK for MCP Apps Hosts.
    COPY-PASTE FIX
    The `mcp-ui` SDK enables developers to build rich, interactive web interfaces specifically for AI and LLM applications, leveraging the Model Context Protocol (MCP) Apps standard. It pioneered the concept of UI over MCP, standardizing how AI tools deliver dynamic user experiences.
  • mediumabout#2
    Clarify the repository's 'About' description to emphasize AI/LLM application UI development

    Why:

    CURRENT
    UI over MCP. Create next-gen UI experiences with the protocol and SDK!
    COPY-PASTE FIX
    SDK for building interactive web UIs for AI and LLM applications, leveraging the Model Context Protocol (MCP) standard.

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 MCP-UI-Org/mcp-ui
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Streamlit
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Streamlit · recommended 2×
  2. Gradio · recommended 2×
  3. Panel · recommended 2×
  4. Dash · recommended 2×
  5. React · recommended 2×
  • CATEGORY QUERY
    How can I build interactive web interfaces for my AI and LLM applications?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. Gradio
    3. Panel
    4. Dash
    5. Plotly
    6. Next.js
    7. React
    8. FastAPI
    9. Flask
    10. Vue.js
    11. Svelte
    12. SvelteKit

    AI recommended 12 alternatives but never named MCP-UI-Org/mcp-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What SDKs are available for creating dynamic user interfaces for AI models?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. Panel
    4. Dash
    5. FastAPI
    6. React
    7. Vue.js
    8. Svelte
    9. Flask
    10. Jinja2
    11. Angular
    12. Django
    13. Django Rest Framework

    AI recommended 13 alternatives but never named MCP-UI-Org/mcp-ui. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 MCP-UI-Org/mcp-ui?
    pass
    AI named MCP-UI-Org/mcp-ui explicitly

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

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

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

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MARKDOWN (README)
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HTML
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MCP-UI-Org/mcp-ui — 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