RRepoGEO

REPOGEO REPORT · LITE

21st-dev/magic-mcp

Default branch main · commit b07bc9d1 · scanned 5/26/2026, 1:52:49 PM

GitHub: 4,923 stars · 347 forks

AI VISIBILITY SCORE
28 /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
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 21st-dev/magic-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

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

OVERALL DIRECTION
  • highabout#1
    Update the repository description for clarity

    Why:

    CURRENT
    It's like v0 but in your Cursor/WindSurf/Cline. 21st dev Magic MCP server for working with your frontend like Magic
    COPY-PASTE FIX
    AI-driven tool for generating modern UI components instantly from natural language descriptions, integrated with IDEs like Cursor, Windsurf, and VSCode.
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, GPL-3.0) in the root of the repository to clearly state the project's licensing terms.

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 21st-dev/magic-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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. Locofy.ai · recommended 1×
  3. Galileo AI · recommended 1×
  4. Uizard · recommended 1×
  5. Durable AI · recommended 1×
  • CATEGORY QUERY
    What AI tools help generate modern UI components instantly from natural language descriptions?
    you: not recommended
    AI recommended (in order):
    1. Locofy.ai
    2. Galileo AI
    3. Uizard
    4. Durable AI
    5. Microsoft Copilot
    6. GitHub Copilot

    AI recommended 6 alternatives but never named 21st-dev/magic-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an IDE integrated AI assistant to streamline frontend UI component development.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. Codeium
    4. JetBrains AI Assistant
    5. Cursor

    AI recommended 5 alternatives but never named 21st-dev/magic-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 21st-dev/magic-mcp?
    pass
    AI did not name 21st-dev/magic-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 21st-dev/magic-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 21st-dev/magic-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 21st-dev/magic-mcp solve, and who is the primary audience?
    pass
    AI named 21st-dev/magic-mcp explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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