RRepoGEO

REPOGEO REPORT · LITE

zinja-coder/jadx-ai-mcp

Default branch jadx-ai · commit f540c49c · scanned 5/26/2026, 12:12:39 PM

GitHub: 2,143 stars · 204 forks

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 zinja-coder/jadx-ai-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
  • highabout#1
    Expand the 'About' description to include AI/LLM and vulnerability analysis

    Why:

    CURRENT
    Plugin for JADX to integrate MCP server
    COPY-PASTE FIX
    An AI-powered JADX plugin that integrates with MCP servers to enable large language models (LLMs) like Claude for automated Android APK vulnerability analysis and reverse engineering.
  • highreadme#2
    Strengthen README's opening statement to emphasize AI-powered vulnerability analysis

    Why:

    CURRENT
    ⚡ Fully automated MCP server + JADX plugin built to communicate with LLM through MCP to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, analyze APK, and reverse engineer effortlessly.
    COPY-PASTE FIX
    JADX-AI-MCP is an AI-powered JADX plugin designed for security researchers and reverse engineers to automate vulnerability analysis and reverse engineering of Android APKs using large language models like Claude. It provides a fully automated MCP server and JADX plugin for seamless integration.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://zinja-coder.github.io/jadx-ai-mcp/

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 zinja-coder/jadx-ai-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Androguard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Androguard · recommended 1×
  2. scikit-learn · recommended 1×
  3. TensorFlow · recommended 1×
  4. PyTorch · recommended 1×
  5. DroidScope · recommended 1×
  • CATEGORY QUERY
    How can I use AI to automate vulnerability analysis in Android APKs?
    you: not recommended
    AI recommended (in order):
    1. Androguard
    2. scikit-learn
    3. TensorFlow
    4. PyTorch
    5. DroidScope
    6. MobSF
    7. Koodous
    8. VirusTotal
    9. Qark

    AI recommended 9 alternatives but never named zinja-coder/jadx-ai-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help reverse engineer Android applications with large language model assistance?
    you: not recommended
    AI recommended (in order):
    1. Ghidra
    2. IDA Pro
    3. Jadx-GUI
    4. Bytecode Viewer
    5. APKTool
    6. Frida

    AI recommended 6 alternatives but never named zinja-coder/jadx-ai-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 zinja-coder/jadx-ai-mcp?
    pass
    AI did not name zinja-coder/jadx-ai-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 zinja-coder/jadx-ai-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zinja-coder/jadx-ai-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 zinja-coder/jadx-ai-mcp solve, and who is the primary audience?
    pass
    AI did not name zinja-coder/jadx-ai-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?

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zinja-coder/jadx-ai-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