mcp-virustotal: MCP server for VirusTotal API — analyze URLs, files, IPs, and domains with comprehensive security reports

by w0h1v · MCP Server · ★ 155

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

How to install mcp-virustotal

npx -y @smithery/cli install @burtthecoder/mcp-virustotal --client claude
npm install -g @burtthecoder/mcp-virustotal

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 81/100

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.

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.

ai-toolsclaudecybersecurityiocmalware-analysismalware-detectionmcpmcp-servermodel-context-protocolsecurity

Quick Facts

Stars155
Forks24
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score81/100
Open Issues1
Last Updated2026-11-04
Created2024-12-13
Platformsclaude-code, mcp, node
Est. Tokens~17k

About mcp-virustotal

VirusTotal MCP Server A Model Context Protocol (MCP) server for querying the VirusTotal API. This server provides comprehensive security analysis tools with automatic relationship data fetching. It integrates seamlessly with MCP-compatible applications like Claude Desktop.

Compatible Skills

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

  • mcp-virustotal — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (75%)
  • darknet-mcp-server — semantic(0.45)+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • ai_for_the_win — semantic(0.29)+complementary+rare_topics+similar_pop (54%)

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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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