RRepoGEO

REPOGEO REPORT · LITE

Jpisnice/shadcn-ui-mcp-server

Default branch master · commit 45d615f0 · scanned 5/18/2026, 3:42:17 AM

GitHub: 2,768 stars · 289 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)

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

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 Jpisnice/shadcn-ui-mcp-server, 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 README H1 and opening sentence to clarify purpose for AI

    Why:

    CURRENT
    # Shadcn UI v4 MCP Server
    
    > **🚀 The fastest way to integrate shadcn/ui components into your AI workflow**
    COPY-PASTE FIX
    # Shadcn UI v4 Model Context Protocol (MCP) Server for AI Assistants
    
    > **🚀 Provide your AI assistant with comprehensive context on shadcn/ui components for multi-framework front-end development.**
  • mediumhomepage#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://archestra.ai/mcp-catalog/jpisnice__shadcn-ui-mcp-server
  • mediumtopics#3
    Refine repository topics for better AI categorization

    Why:

    CURRENT
    ai, expo, mcp, modelcontextprotocol, nextjs, npm, npm-package, npx, react, react-native, shadcn-ui, svelte, sveltekit, ts, typescript, ui, vue, vuejs, webdev
    COPY-PASTE FIX
    ai, modelcontextprotocol, llm, generative-ai, ai-development, component-library, shadcn-ui, react, svelte, vue, react-native, nextjs, sveltekit, vuejs, typescript, webdev, npm, npm-package, npx, ui, expo

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 Jpisnice/shadcn-ui-mcp-server
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Storybook
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Storybook · recommended 2×
  2. Web Components · recommended 1×
  3. Lit · recommended 1×
  4. Zeroheight · recommended 1×
  5. Supernova · recommended 1×
  • CATEGORY QUERY
    How can I provide my AI assistant context on UI components for multi-framework front-end development?
    you: not recommended
    AI recommended (in order):
    1. Storybook
    2. Web Components
    3. Lit
    4. Zeroheight
    5. Supernova
    6. Frontify
    7. TypeScript
    8. Nx
    9. Lerna

    AI recommended 9 alternatives but never named Jpisnice/shadcn-ui-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate component library details into large language models for generating UI code?
    you: not recommended
    AI recommended (in order):
    1. Storybook
    2. Docz
    3. TypeScript Compiler API
    4. Babel
    5. SWC
    6. OpenAPI
    7. Swagger
    8. JSON Schema
    9. Figma
    10. Sketch
    11. Adobe XD
    12. Figma Tokens

    AI recommended 12 alternatives but never named Jpisnice/shadcn-ui-mcp-server. 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 Jpisnice/shadcn-ui-mcp-server?
    pass
    AI named Jpisnice/shadcn-ui-mcp-server explicitly

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

  • If a team adopts Jpisnice/shadcn-ui-mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name Jpisnice/shadcn-ui-mcp-server — 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?

  • In one sentence, what problem does the repo Jpisnice/shadcn-ui-mcp-server solve, and who is the primary audience?
    pass
    AI did not name Jpisnice/shadcn-ui-mcp-server — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite