inkog_mcp_scan
Scan MCP servers from registry or repository URL to detect vulnerabilities including tool poisoning, command injection, and data exfiltration. Maps results to OWASP Agentic and MCP Top 10.
Instructions
Scan MCP servers from registry or by repository URL for security vulnerabilities. Detects tool poisoning, command injection, data exfiltration, prompt injection, excessive permissions, obfuscation, supply chain risks, and more. Maps findings to OWASP Agentic Top 10 and OWASP MCP Top 10. Set deep=true for AI-powered deep analysis (~10 min, catches novel threats). For skill package scanning, use inkog_skill_scan instead.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| server_name | No | MCP server name from registry (e.g., "github", "filesystem", "postgres") | |
| repository_url | No | GitHub repository URL of the MCP server | |
| deep | No | Enable AI deep analysis |
Implementation Reference
- src/tools/mcp-scan.ts:139-343 (handler)The main handler function for the inkog_mcp_scan tool. Accepts server_name or repository_url, calls the API to scan MCP servers, formats results including permissions, tool analyses, findings, and optional deep AI analysis with polling.
async function handleMCPScan(args: Record<string, unknown>): Promise<ToolResult> { const parsed = MCPScanArgsSchema.parse(args); try { const client = getClient(); let response: SkillScanResponse; if (parsed.server_name) { // Scan MCP server from registry (optionally with repo URL for deep) const mcpOpts: { serverName: string; url?: string } = { serverName: parsed.server_name, }; if (parsed.repository_url) { mcpOpts.url = parsed.repository_url; } response = await client.scanMCPServer(mcpOpts); } else if (parsed.repository_url) { // Scan MCP server from repository URL response = await client.scanSkill({ repositoryUrl: parsed.repository_url, }); } else { return { content: [ { type: 'text', text: 'Please provide either server_name or repository_url.', }, ], isError: true, }; } if (!response.success || !response.result) { return { content: [ { type: 'text', text: `MCP scan failed: ${response.error ?? 'Unknown error'}`, }, ], isError: true, }; } // Format the results const result = response.result; const lines: string[] = []; lines.push(`# MCP Server Security Scan: ${result.name || 'Unknown'}`); lines.push(''); lines.push(`**Overall Risk:** ${formatRiskBadge(result.overall_risk)}`); lines.push(`**Security Score:** ${result.security_score}/100`); lines.push(`**Files Scanned:** ${result.files_scanned} | **Lines:** ${result.lines_of_code}`); lines.push(''); // Permissions if (result.permissions) { const p = result.permissions; lines.push('## Permissions'); lines.push(formatPermission('File Access', p.file_access)); lines.push(formatPermission('Network Access', p.network_access)); lines.push(formatPermission('Code Execution', p.code_execution)); lines.push(formatPermission('Database Access', p.database_access)); lines.push(formatPermission('Environment Access', p.environment_access)); lines.push(`**Scope:** ${p.scope}`); if (p.code_execution && p.network_access && (p.file_access || p.environment_access)) { lines.push(''); lines.push('⚠️ **LETHAL TRIFECTA DETECTED:** Code Execution + Network + File/Env Access'); } lines.push(''); } // Tools if (result.tool_analyses?.length > 0) { lines.push(`## Tools (${result.tool_analyses.length})`); for (const tool of result.tool_analyses) { const riskIcon = tool.risk_level === 'dangerous' ? '🔴' : tool.risk_level === 'moderate' ? '🟡' : '🟢'; lines.push(`- ${riskIcon} **${tool.name}** [${tool.risk_level}]`); if (tool.attack_vectors?.length) { for (const v of tool.attack_vectors) { lines.push(` - Attack vector: ${v}`); } } } lines.push(''); } // Findings if (result.findings.length > 0) { lines.push(`## Findings (${result.findings.length})`); lines.push(`🔴 Critical: ${result.critical_count} | 🟠 High: ${result.high_count} | 🟡 Medium: ${result.medium_count} | 🟢 Low: ${result.low_count}`); lines.push(''); for (let i = 0; i < result.findings.length; i++) { const f = result.findings[i]!; lines.push(`### ${formatSeverityIcon(f.severity)} #${i + 1}: ${f.title}`); if (f.file) { lines.push(`📁 ${f.file}${f.line ? `:${f.line}` : ''}`); } if (f.tool_name) { lines.push(`🔧 Tool: ${f.tool_name}`); } lines.push(f.description); if (f.owasp_agentic || f.owasp_mcp) { const refs: string[] = []; if (f.owasp_agentic) refs.push(`OWASP Agentic: ${f.owasp_agentic}`); if (f.owasp_mcp) refs.push(`OWASP MCP: ${f.owasp_mcp}`); lines.push(`📋 ${refs.join(' | ')}`); } lines.push(`💡 ${f.remediation}`); lines.push(''); } } else { lines.push('## ✅ No security findings detected'); } // Deep scan flow if (parsed.deep && response.scan_id) { lines.push(''); lines.push('---'); lines.push('## 🔬 Deep Analysis'); lines.push('Triggering AI deep analysis...'); try { await client.triggerSkillDeepScan(response.scan_id); } catch { lines.push('⚠️ Could not trigger deep analysis. Returning standard results.'); return { content: [{ type: 'text', text: lines.join('\n') }], }; } const deadline = Date.now() + 15 * 60 * 1000; let deepDone = false; while (Date.now() < deadline) { await sleep(5000); try { const detail: SkillScanDetailResponse = await client.getSkillScan(response.scan_id); const status = detail.scan?.ai_scan_status as string | undefined; if (status === 'completed') { const deepOutput = formatDeepFindings(detail.scan); if (deepOutput) { lines.push(deepOutput); } else { lines.push('✅ Deep analysis completed — no additional findings.'); } deepDone = true; break; } if (status === 'failed') { lines.push('⚠️ Deep analysis failed. Standard scan results are shown above.'); deepDone = true; break; } } catch { // Polling error — continue waiting } } if (!deepDone) { lines.push('⏱️ Deep analysis timed out (15 min). Check the dashboard for results.'); } } return { content: [ { type: 'text', text: lines.join('\n'), }, ], }; } catch (err) { if (err instanceof InkogAuthError) { return { content: [{ type: 'text', text: '🔐 Authentication required. Set INKOG_API_KEY environment variable.' }], isError: true, }; } if (err instanceof InkogRateLimitError) { return { content: [{ type: 'text', text: '⏳ Rate limited. Please wait and try again.' }], isError: true, }; } if (err instanceof InkogNetworkError) { return { content: [{ type: 'text', text: '🌐 Network error. Check your connection and try again.' }], isError: true, }; } if (err instanceof InkogApiError) { return { content: [{ type: 'text', text: `❌ API error: ${err.message}` }], isError: true, }; } throw err; } } - src/tools/mcp-scan.ts:26-50 (schema)Zod schema defining the input arguments: server_name (optional str), repository_url (optional URL), deep (optional boolean, default false). Requires at least server_name or repository_url via refine.
const MCPScanArgsSchema = z .object({ server_name: z .string() .optional() .describe('MCP server name from registry (e.g., "github", "filesystem", "postgres")'), repository_url: z .string() .url() .optional() .describe('GitHub repository URL of the MCP server to scan'), deep: z .boolean() .optional() .default(false) .describe('Enable AI deep analysis (slower but catches novel threats)'), }) .refine( (data) => data.server_name !== undefined || data.repository_url !== undefined, { message: 'Either server_name or repository_url must be provided', } ); - src/tools/mcp-scan.ts:349-378 (registration)Exported ToolDefinition object for inkog_mcp_scan, containing the tool name, description, inputSchema (server_name, repository_url, deep), and the handler reference (handleMCPScan).
export const mcpScanTool: ToolDefinition = { tool: { name: 'inkog_mcp_scan', description: 'Scan MCP servers from registry or by repository URL for security vulnerabilities. ' + 'Detects tool poisoning, command injection, data exfiltration, prompt injection, excessive permissions, ' + 'obfuscation, supply chain risks, and more. Maps findings to OWASP Agentic Top 10 and OWASP MCP Top 10. ' + 'Set deep=true for AI-powered deep analysis (~10 min, catches novel threats). ' + 'For skill package scanning, use inkog_skill_scan instead.', inputSchema: { type: 'object' as const, properties: { server_name: { type: 'string', description: 'MCP server name from registry (e.g., "github", "filesystem", "postgres")', }, repository_url: { type: 'string', description: 'GitHub repository URL of the MCP server', }, deep: { type: 'boolean', description: 'Enable AI deep analysis', default: false, }, }, }, }, handler: handleMCPScan, }; - src/tools/index.ts:122-134 (registration)Registration of mcpScanTool into the central tool registry via registerTool() on line 134, making inkog_mcp_scan available for invocation.
import { mcpScanTool } from './mcp-scan.js'; // Register all tools registerTool(scanTool); registerTool(deepScanTool); registerTool(governanceTool); registerTool(complianceTool); registerTool(explainTool); registerTool(auditMcpTool); registerTool(mlbomTool); registerTool(auditA2aTool); registerTool(skillScanTool); registerTool(mcpScanTool);