RRepoGEO

REPOGEO REPORT · LITE

mobile-next/mobile-mcp

Default branch main · commit 227e961d · scanned 5/9/2026, 8:36:29 AM

GitHub: 4,835 stars · 420 forks

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 mobile-next/mobile-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
    Clarify the core purpose in the README's opening paragraph

    Why:

    CURRENT
    This is a Model Context Protocol (MCP) server that enables scalable mobile automation, development through a platform-agnostic interface, eliminating the need for distinct iOS or Android knowledge. You can run it on emulators, simulators, and real devices (iOS and Android). This server allows Agents and LLMs to interact with native iOS/Android applications and devices through structured accessibility snapshots or coordinate-based taps based on screenshots.
    COPY-PASTE FIX
    Mobile Next MCP is a **server for mobile UI automation and interaction**, specifically designed to enable AI Agents and LLMs to programmatically control iOS and Android applications. It provides a platform-agnostic interface for scalable mobile automation and development across emulators, simulators, and real devices, facilitating interaction through structured accessibility snapshots or coordinate-based taps based on screenshots.
  • highabout#2
    Refine the repository description for clarity and AI agent focus

    Why:

    CURRENT
    Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)
    COPY-PASTE FIX
    A server for mobile UI automation and interaction, enabling AI Agents and LLMs to control iOS/Android apps on emulators, simulators, and real devices.
  • mediumtopics#3
    Add key category and use-case topics

    Why:

    CURRENT
    agent, android, emulator, ios, mcp, mobile, physical, real, simulator
    COPY-PASTE FIX
    agent, android, automation, emulator, ios, llm, mcp, mobile, physical, real, scraping, simulator, ui-automation

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 mobile-next/mobile-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
XCUITest
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. XCUITest · recommended 2×
  2. Appium · recommended 1×
  3. Detox · recommended 1×
  4. Maestro · recommended 1×
  5. UIAutomator2 · recommended 1×
  • CATEGORY QUERY
    How to automate UI interactions on both iOS and Android devices programmatically?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. Detox
    3. Maestro
    4. XCUITest
    5. UIAutomator2
    6. Espresso
    7. Kobiton
    8. Sauce Labs
    9. BrowserStack

    AI recommended 9 alternatives but never named mobile-next/mobile-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for AI agents to interact with native mobile applications across platforms?
    you: not recommended
    AI recommended (in order):
    1. Appium (appium/appium)
    2. Detox (wix/Detox)
    3. Maestro (mobile-dev-inc/maestro)
    4. UI Automator
    5. XCUITest
    6. SeeTest

    AI recommended 6 alternatives but never named mobile-next/mobile-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
    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 mobile-next/mobile-mcp?
    pass
    AI named mobile-next/mobile-mcp explicitly

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

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

    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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite