ScanLabsAI Security Scanner
Scan a website for vulnerabilities: OWASP Top 10, CVEs, SSL, headers - with plain-English fixes
사용해야 할까요
품질 및 안전성
발견 사항 (2)
- HIGH
- MEDIUMcheck_credits에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"scanner": {
"command": "npx",
"args": [
"@scanlabsai/mcp-server"
]
}
}
}실행 가능한 패키지
1.0.0stdio원격 엔드포인트
https://scanlabsai.com/api/mcpstreamable-http할 수 있는 일
도구 목록
도구 (8)
🟡scan_website(url, deep)
Run a ScanLabsAI security scan against a website and return a full Markdown vulnerability report (grouped by severity, with descriptions and remediation) that you can analyse, act on, and the user can save as security-report.md. Checks OWASP Top 10, CVEs, SSL/TLS, security headers and DNS. Use deep=true for a comprehensive scan (40,000+ vectors, slower). Only scan sites the user is authorised to test.
입력 스키마
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The website URL to scan, e.g. https://example.com"
},
"deep": {
"type": "boolean",
"description": "Run a deep scan (comprehensive, slower). Defaults to false."
}
},
"required": [
"url"
]
}⚪scan_agent(kind, endpoint, apiKey, model, deep)
Red-team an AI agent for security weaknesses — prompt injection, system-prompt leakage, sensitive-data disclosure, unsafe output handling and excessive agency — mapped to the OWASP LLM Top 10, and return a Markdown report. This is agent-to-agent scanning: use it to assess another agent from here. Two target kinds are supported: kind="openai" for an OpenAI-compatible chat-completions endpoint, or kind="mcp" for an MCP server (its tool manifest is audited for tool-poisoning and over-broad capabilities). Requires a ScanLabsAI API key in the connection; each agent scan uses 5 AI credits. Probing is active and adversarial — only scan agents you own or are authorised to test.
입력 스키마
{
"type": "object",
"properties": {
"kind": {
"type": "string",
"enum": [
"openai",
"mcp"
],
"description": "Target type: \"openai\" for a chat-completions endpoint, \"mcp\" for an MCP server."
},
"endpoint": {
"type": "string",
"description": "The agent endpoint URL (chat-completions URL, or MCP server URL)."
},
"apiKey": {
"type": "string",
"description": "Optional bearer token / API key the target agent requires. Sent to the target only; not stored."
},
"model": {
"type": "string",
"description": "Model name for OpenAI-compatible endpoints, e.g. gpt-4o-mini."
},
"deep": {
"type": "boolean",
"description": "Run deeper probes (jailbreak + resource-exhaustion). Defaults to false."
}
},
"required": [
"kind",
"endpoint"
]
}⚪compliance_report(url)
Generate a website compliance report — the same automated assessment the ScanLabsAI agency portal runs — covering GDPR/CCPA privacy, WCAG 2.1 AA accessibility, PCI DSS 4.0 payment security and general standards. Returns an overall score, per-category scores and the failing/at-risk checks with recommendations, as Markdown. Requires a ScanLabsAI API key in the connection; costs 1 AI credit per report. Only run against sites you are authorised to assess.
입력 스키마
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The website URL to assess for compliance, e.g. https://example.com"
}
},
"required": [
"url"
]
}🟢get_fix_guidance(issue)
Get detailed, step-by-step remediation guidance for a specific vulnerability or security issue (e.g. "missing Content-Security-Policy header", "SQL injection", a CVE id). Returns actionable fixes.
입력 스키마
{
"type": "object",
"properties": {
"issue": {
"type": "string",
"description": "The vulnerability, finding title, or CVE id to fix."
}
},
"required": [
"issue"
]
}⚪lookup_cves(keyword, limit)
Look up recent CVEs from the NIST NVD feed, optionally filtered by keyword. Returns id, severity, score and summary.
입력 스키마
{
"type": "object",
"properties": {
"keyword": {
"type": "string",
"description": "Optional keyword, e.g. \"wordpress\" or \"openssl\"."
},
"limit": {
"type": "number",
"description": "Max results (1-25). Defaults to 10."
}
}
}🟢get_pricing
Get ScanLabsAI pricing: the free-first-scan policy and AI credit packs.
입력 스키마
{
"type": "object",
"properties": {}
}🟡check_credits
Check the signed-in account's AI credit balance. Requires a ScanLabsAI API key in the MCP connection (Authorization: Bearer slai_...). Create one at https://scanlabsai.com/mcp.
입력 스키마
{
"type": "object",
"properties": {}
}🟢buy_credits(pack)
Get a secure Stripe checkout link to buy an AI credit pack for the signed-in account. Requires a ScanLabsAI API key in the MCP connection. Credits are added automatically once payment completes. Packs: starter (5), pro (15), agency (50).
입력 스키마
{
"type": "object",
"properties": {
"pack": {
"type": "string",
"description": "Pack id: starter, pro, or agency. Defaults to pro."
}
}
}커뮤니티
증거