RRepoGEO

REPOGEO REPORT · LITE

mobile-next/mobile-mcp

Default branch main · commit 7782ed5f · scanned 6/19/2026, 3:51:12 AM

GitHub: 5,233 stars · 453 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
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
    Reposition the README's opening paragraph to clearly state its purpose as an AI-driven mobile automation server

    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 Model Context Protocol (MCP) **server specifically designed for AI agents and LLMs** to perform scalable mobile automation and scraping. It provides a platform-agnostic interface for interacting with native iOS/Android applications on emulators, simulators, and real devices, enabling structured accessibility snapshots and coordinate-based taps.
  • mediumabout#2
    Refine the repository description to highlight AI/LLM integration

    Why:

    CURRENT
    Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)
    COPY-PASTE FIX
    Model Context Protocol (MCP) Server for AI Agents and LLMs, enabling scalable Mobile Automation and Scraping across iOS, Android, Emulators, Simulators, and Real Devices.
  • mediumtopics#3
    Expand repository topics with more specific keywords for AI and automation

    Why:

    CURRENT
    agent, android, emulator, ios, mcp, mobile, physical, real, simulator
    COPY-PASTE FIX
    agent, android, emulator, ios, mcp, mobile, physical, real, simulator, automation, scraping, llm, ai, server, 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
Appium
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Appium · recommended 2×
  2. Detox · recommended 1×
  3. Maestro · recommended 1×
  4. Playwright · recommended 1×
  5. XCUITest · recommended 1×
  • CATEGORY QUERY
    How can I automate UI interactions on both iOS and Android devices programmatically?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. Detox
    3. Maestro
    4. Playwright
    5. XCUITest
    6. Espresso

    AI recommended 6 alternatives but never named mobile-next/mobile-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable scalable mobile app scraping and data extraction from native applications?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. Frida
    3. Xposed Framework
    4. Cydia Substrate
    5. mitmproxy
    6. Fiddler
    7. Charles Proxy
    8. Genymotion
    9. Android Studio Emulator
    10. Xcode Simulators
    11. Scrapy
    12. Ghidra
    13. IDA Pro

    AI recommended 13 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?

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mobile-next/mobile-mcp — 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