RRepoGEO

REPOGEO REPORT · LITE

MCP-UI-Org/mcp-ui

Default branch main · commit 33de6b6e · scanned 5/16/2026, 5:36:15 AM

GitHub: 4,818 stars · 364 forks

AI VISIBILITY SCORE
33 /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
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 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

3 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 to clearly state its purpose as a frontend SDK for protocol-driven AI UIs

    Why:

    CURRENT
    ## 📦 Model Context Protocol UI SDK `mcp-ui`** pioneered the concept of interactive UI over MCP, enabling rich web interfaces for AI tools.
    COPY-PASTE FIX
    ## 📦 Model Context Protocol UI SDK for AI Applications `mcp-ui` is the leading SDK for building interactive web user interfaces (UIs) over the Model Context Protocol (MCP), enabling rich frontend experiences for AI tools and large language model (LLM) applications.
  • hightopics#2
    Add more specific topics to clarify the repo's focus on protocol-driven AI frontend SDKs

    Why:

    CURRENT
    ai, frontend, llm, mcp, ui, web
    COPY-PASTE FIX
    ai, frontend, llm, mcp, ui, web, protocol, sdk, web-components, ai-frontend, llm-ui, model-context-protocol
  • mediumexamples#3
    Add prominent, easy-to-find code examples to the README

    Why:

    COPY-PASTE FIX
    Add a dedicated section in the README with 1-2 concise code snippets demonstrating how to quickly set up a basic UI for an AI service using `mcp-ui`, or link directly to a well-organized `examples/` directory.

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. Next.js · recommended 2×
  4. React · recommended 1×
  5. Panel · recommended 1×
  • CATEGORY QUERY
    How to build interactive web user interfaces for large language model applications?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. Gradio
    3. Next.js
    4. React
    5. Panel
    6. FastAPI
    7. Vue.js
    8. Svelte
    9. Dash by Plotly

    AI recommended 9 alternatives but never named MCP-UI-Org/mcp-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What SDKs simplify creating frontend experiences for AI services over a protocol?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. LangChain.js
    4. OpenAI API SDKs
    5. Hugging Face `transformers` library
    6. React Flow
    7. Vue Flow
    8. Next.js
    9. SvelteKit

    AI recommended 9 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 did not name MCP-UI-Org/mcp-ui — 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?

Embed your GEO score

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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