RRepoGEO

REPOGEO REPORT · LITE

mukul975/cve-mcp-server

Default branch main · commit 809953e0 · scanned 5/30/2026, 8:26:48 PM

GitHub: 852 stars · 143 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 mukul975/cve-mcp-server, 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 H1 and opening line to emphasize AI agent enablement

    Why:

    CURRENT
    # 🛡️ CVE MCP Server
    
    **AI-powered security intelligence at your fingertips — 27 tools, 21 data sources, one protocol.**
    COPY-PASTE FIX
    # 🛡️ CVE MCP Server: AI Agent for Security Intelligence
    
    **The Model Context Protocol (MCP) server that empowers Claude and other LLMs with 27 security intelligence tools across 21 data sources.**
  • mediumtopics#2
    Add more specific AI agent and LLM-related topics

    Why:

    CURRENT
    cisa-kev, claude-ai, cve, cybersecurity, devsecops, epss, fastmcp, mcp, mitre-attack, model-context-protocol, nvd, osv, python, security, shodan, threat-intelligence, virustotal, vulnerability-management
    COPY-PASTE FIX
    ai-agents, cisa-kev, claude-ai, cve, cybersecurity, devsecops, epss, fastmcp, generative-ai, llm-tools, mcp, mitre-attack, model-context-protocol, nvd, osv, python, security, shodan, threat-intelligence, virustotal, vulnerability-management
  • lowreadme#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## 🆚 Comparison to Alternatives
    
    Unlike traditional vulnerability management platforms (e.g., VulnCheck, Kenna Security, Nucleus Security) or generic API clients (e.g., OpenCTI Python Client, MISP-Python), CVE MCP Server is specifically designed as an open-source Model Context Protocol (MCP) server to empower AI agents like Claude. It provides a unified, AI-ready interface to 27 security intelligence tools, focusing on real-time, correlated risk assessment and automated decision support rather than just data aggregation or manual analysis.

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 mukul975/cve-mcp-server
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
VulnCheck
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. VulnCheck · recommended 1×
  2. Kenna Security · recommended 1×
  3. Nucleus Security · recommended 1×
  4. Python · recommended 1×
  5. NVD API · recommended 1×
  • CATEGORY QUERY
    How can I automate correlating CVE data from multiple security intelligence sources?
    you: not recommended
    AI recommended (in order):
    1. VulnCheck
    2. Kenna Security
    3. Nucleus Security
    4. Python
    5. NVD API
    6. CISA Known Exploited Vulnerabilities (KEV) Catalog
    7. Exploit-DB
    8. requests
    9. json
    10. pandas
    11. Splunk
    12. Elastic Stack
    13. Elasticsearch
    14. Logstash
    15. Kibana

    AI recommended 15 alternatives but never named mukul975/cve-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python tool to integrate AI with vulnerability and threat intelligence APIs.
    you: not recommended
    AI recommended (in order):
    1. Requests (psf/requests)
    2. OpenCTI Python Client (OpenCTI-Platform/python-client)
    3. MISP-Python (MISP/PyMISP)
    4. TheHive4py (TheHive-Project/TheHive4py)
    5. Maltego Python SDK (Maltego/maltego-trx)
    6. FalconPy (CrowdStrike/falconpy)
    7. VirusTotal API Client

    AI recommended 7 alternatives but never named mukul975/cve-mcp-server. 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 mukul975/cve-mcp-server?
    pass
    AI named mukul975/cve-mcp-server explicitly

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

  • If a team adopts mukul975/cve-mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mukul975/cve-mcp-server 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 mukul975/cve-mcp-server solve, and who is the primary audience?
    pass
    AI named mukul975/cve-mcp-server explicitly

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

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mukul975/cve-mcp-server — 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