RRepoGEO

REPOGEO REPORT · LITE

LaurieWired/GhidraMCP

Default branch main · commit 27f316f8 · scanned 6/19/2026, 2:52:00 AM

GitHub: 9,292 stars · 949 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
35 /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
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 LaurieWired/GhidraMCP, 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's core value proposition to prevent miscategorization

    Why:

    CURRENT
    # ghidraMCP
ghidraMCP is an Model Context Protocol server for allowing LLMs to autonomously reverse engineer applications.
    COPY-PASTE FIX
    # ghidraMCP: Connect LLMs to Ghidra for Autonomous Reverse Engineering
ghidraMCP is a Model Context Protocol (MCP) server designed to integrate Large Language Models (LLMs) directly with Ghidra, enabling powerful autonomous binary analysis and reverse engineering workflows.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["ghidra", "reverse-engineering", "llm", "ai", "binary-analysis", "model-context-protocol", "decompiler", "automation"]
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/LaurieWired/GhidraMCP

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 LaurieWired/GhidraMCP
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
IDA Pro
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. IDA Pro · recommended 2×
  2. Binary Ninja · recommended 2×
  3. Ghidra · recommended 1×
  4. Ghidra-GPT · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to automate binary analysis and renaming using large language models?
    you: not recommended
    AI recommended (in order):
    1. Ghidra
    2. Ghidra-GPT
    3. OpenAI API
    4. IDA Pro
    5. IDAPython
    6. GPT-4
    7. Claude 3 Opus
    8. Binary Ninja
    9. Binary Ninja Python API
    10. Radare2
    11. Cutter
    12. R2Pipe
    13. capstone
    14. unicorn
    15. pefile
    16. elfio
    17. GPT-4o
    18. Claude 3.5 Sonnet
    19. Google Gemini 1.5 Pro
    20. Llama 3
    21. Mistral
    22. OpenAI
    23. Anthropic
    24. Google

    AI recommended 24 alternatives but never named LaurieWired/GhidraMCP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to connect disassembler functionality with AI for code analysis.
    you: not recommended
    AI recommended (in order):
    1. IDA Pro
    2. TensorFlow (tensorflow/tensorflow)
    3. PyTorch (pytorch/pytorch)
    4. Ghidra (NationalSecurityAgency/ghidra)
    5. Binary Ninja
    6. Angr (angr/angr)
    7. Radare2 (radareorg/radare2)
    8. Cutter (rizinorg/cutter)
    9. Capstone (capstone-engine/capstone)
    10. Keystone (keystone-engine/keystone)

    AI recommended 10 alternatives but never named LaurieWired/GhidraMCP. 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 LaurieWired/GhidraMCP?
    pass
    AI named LaurieWired/GhidraMCP explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of LaurieWired/GhidraMCP. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/LaurieWired/GhidraMCP.svg)](https://repogeo.com/en/r/LaurieWired/GhidraMCP)
HTML
<a href="https://repogeo.com/en/r/LaurieWired/GhidraMCP"><img src="https://repogeo.com/badge/LaurieWired/GhidraMCP.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

LaurieWired/GhidraMCP — 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