RRepoGEO

REPOGEO REPORT · LITE

bethington/ghidra-mcp

Default branch main · commit 5b3bfab0 · scanned 5/27/2026, 9:21:46 AM

GitHub: 2,109 stars · 6 forks

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 bethington/ghidra-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 "MCP" acronym in README's opening sentence

    Why:

    CURRENT
    A production-ready Model Context Protocol (MCP) server that bridges Ghidra's powerful reverse engineering capabilities with modern AI tools and automation frameworks.
    COPY-PASTE FIX
    Ghidra MCP Server (Model Context Protocol, *not* Minecraft Mod Coder Pack or Microchip PIC) is a production-ready server that bridges Ghidra's powerful reverse engineering capabilities with modern AI tools and automation frameworks.
  • mediumreadme#2
    Emphasize "production-ready" status in README's opening

    Why:

    COPY-PASTE FIX
    This project is **production-ready**, actively maintained, and used daily on real binaries by reverse engineers. It is *not* a proof-of-concept or work-in-progress.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://modelcontextprotocol.io/

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 bethington/ghidra-mcp
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. IDA Pro · recommended 1×
  2. IDAPython · recommended 1×
  3. Lighthouse · recommended 1×
  4. Ghidra · recommended 1×
  5. Ghidra-ML · recommended 1×
  • CATEGORY QUERY
    How can I leverage AI to automate complex binary analysis tasks for reverse engineering?
    you: not recommended
    AI recommended (in order):
    1. IDA Pro
    2. IDAPython
    3. Lighthouse
    4. Ghidra
    5. Ghidra-ML
    6. BinDiff
    7. Diaphora
    8. DarunGrim
    9. angr
    10. DeepCode
    11. Snyk Code AI Engine
    12. PANDA
    13. OpenAI Codex
    14. GitHub Copilot

    AI recommended 14 alternatives but never named bethington/ghidra-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a server to integrate AI models with existing static analysis tools for enhanced code understanding.
    you: not recommended
    AI recommended (in order):
    1. CodeQL (github/codeql)
    2. SonarQube
    3. Semgrep
    4. Snyk Code
    5. Infer (facebook/infer)

    AI recommended 5 alternatives but never named bethington/ghidra-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 bethington/ghidra-mcp?
    pass
    AI named bethington/ghidra-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 bethington/ghidra-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bethington/ghidra-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 bethington/ghidra-mcp solve, and who is the primary audience?
    pass
    AI named bethington/ghidra-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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bethington/ghidra-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