ScanLabsAI Security Scanner

Scan a website for vulnerabilities: OWASP Top 10, CVEs, SSL, headers - with plain-English fixes

使うべきか

品質と安全性

A
説明の品質
98%
スキーマの完全性
80%
命名の品質
88%
ポイズニングのリスク
80%
権限の一致
100%
プロトコルへの準拠
100%

検出事項(2)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domaincheck_credits 内

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~1,046トークン数(ツール定義)
~609 B一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 0.82%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

{
  "mcpServers": {
    "scanner": {
      "command": "npx",
      "args": [
        "@scanlabsai/mcp-server"
      ]
    }
  }
}

実行可能なパッケージ

npm@scanlabsai/mcp-server1.0.0stdio

リモートエンドポイント

https://scanlabsai.com/api/mcpstreamable-http

できること

ツール一覧

ツール(8)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟡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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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).

入力スキーマ

{
  "type": "object",
  "properties": {
    "pack": {
      "type": "string",
      "description": "Pack id: starter, pro, or agency. Defaults to pro."
    }
  }
}

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