RRepoGEO

REPOGEO REPORT · LITE

cisco-ai-defense/mcp-scanner

Default branch main · commit 89b5947b · scanned 6/5/2026, 11:01:32 AM

GitHub: 956 stars · 114 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 cisco-ai-defense/mcp-scanner, 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 AI security niche

    Why:

    CURRENT
    A Python tool for scanning MCP (Model Context Protocol) servers and tools for potential security findings.
    COPY-PASTE FIX
    The MCP Scanner is a specialized Python tool designed to secure the AI agent supply chain by scanning Model Context Protocol (MCP) servers and tools for potential security findings and threats.
  • mediumtopics#2
    Add more specific AI security-related topics

    Why:

    CURRENT
    agents, ai, mcp, security
    COPY-PASTE FIX
    agents, ai, mcp, security, llm-security, ai-security, model-security
  • mediumcomparison#3
    Add a 'Comparison to Generic Scanners' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Generic Vulnerability Scanners
Unlike general-purpose vulnerability scanners such as Grype, Trivy, or Snyk, MCP Scanner is specifically designed for the unique security challenges of AI agent supply chains and Model Context Protocol (MCP) servers. It integrates specialized engines like LLM-as-a-judge and Cisco AI Defense API, alongside YARA rules, to detect threats specific to AI models and their deployment environments, rather than just package vulnerabilities.

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 cisco-ai-defense/mcp-scanner
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Grype
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Grype · recommended 1×
  2. Trivy · recommended 1×
  3. Snyk · recommended 1×
  4. Aqua Security · recommended 1×
  5. Clair · recommended 1×
  • CATEGORY QUERY
    Need a tool to scan AI model deployment environments for security vulnerabilities.
    you: not recommended
    AI recommended (in order):
    1. Grype
    2. Trivy
    3. Snyk
    4. Aqua Security
    5. Clair
    6. OpenSCAP

    AI recommended 6 alternatives but never named cisco-ai-defense/mcp-scanner. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for Python-based security scanners that detect threats using YARA and AI.
    you: not recommended
    AI recommended (in order):
    1. YARA-Python (VirusTotal/yara-python)
    2. scikit-learn (scikit-learn/scikit-learn)
    3. TensorFlow (tensorflow/tensorflow)
    4. PyTorch (pytorch/pytorch)
    5. Loki (Neo23x0/Loki)
    6. CAPA (Common Attack Pattern Enumeration and Classification) (mandiant/capa)
    7. Malice (maliceio/malice)
    8. Volatility Framework (volatilityfoundation/volatility3)
    9. FalconPy (CrowdStrike Falcon API SDK for Python) (CrowdStrike/falconpy)

    AI recommended 9 alternatives but never named cisco-ai-defense/mcp-scanner. 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 cisco-ai-defense/mcp-scanner?
    pass
    AI named cisco-ai-defense/mcp-scanner explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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