cve-mcp-server: Production-grade MCP server giving Claude 27 security intelligence tools across 21 APIs

by mukul975 · MCP Server · ★ 1.6k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install cve-mcp-server

git clone https://github.com/mukul975/cve-mcp-server.git
claude mcp add cve-mcp -- python -m cve_mcp.server

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

cisa-kevclaude-aicvecybersecuritydevsecopsepssfastmcpmcpmitre-attackmodel-context-protocol

Quick Facts

Stars1,607
Forks264
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score67/100
Open Issues14
Last Updated2026-10-01
Created2026-04-14
Platformsclaude-code, mcp, python
Est. Tokens~21k

About cve-mcp-server

🛡️ CVE MCP Server AI-powered security intelligence at your fingertips — 27 tools, 21 data sources, one protocol. A production-grade Model Context Protocol (MCP) server that turns Claude into a full-spectrum security analyst. Instead of juggling 15+ browser tabs across NVD, EPSS, CISA KEV, Shodan, VirusTotal, and GreyNoise, ask Claude one question and get correlated intelligence in seconds.

Compatible Skills

These tools work well together with cve-mcp-server for enhanced workflows:

  • cti-expert — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • tachi — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • Halberd — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • ai_for_the_win — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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