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Import qai findings into DefectDojo to consolidate MCP server security results alongside your other security tools.

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Prerequisites

  • DefectDojo instance (self-hosted or cloud) with API access
  • qai v0.5.1 or later
  • A completed qai audit scan with JSON export

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Workflow

  1. Run a qai audit scan and export as JSON
  2. Transform the findings to DefectDojo’s expected format
  3. Submit via DefectDojo’s findings import API

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Step 1: Run Audit and Export

qai audit scan \
  --transport stdio \
  --command "npx @modelcontextprotocol/server-memory" \
  --format json \
  --output results/scan.json
Or export a completed run via the web UI: click Export JSON on the run overview.

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Step 2: Transform Findings

qai findings are MCP server security results — not source code findings. Map them to DefectDojo fields:
qai Finding FieldDefectDojo FieldNotes
titletitleFinding title (e.g., “Tool parameter allows shell injection”)
descriptiondescriptionDetailed finding description
severityseverityMaps directly: critical→Critical, high→High, medium→Medium, low→Low
categoryvuln_id_from_toolOWASP MCP category (e.g., command_injection)
framework_ids.owasp_mcp_top10referencesOWASP MCP Top 10 ID (e.g., MCP05)
mitigationmitigationRemediation guidance
Example transformation script: 
import json

with open("results/scan.json") as f:
    scan = json.load(f)

severity_map = {0: "Info", 1: "Low", 2: "Medium", 3: "High", 4: "Critical"}

findings = []
for f in scan.get("findings", []):
    fw = f.get("framework_ids") or {}
    owasp = fw.get("owasp_mcp_top10", "")
    findings.append({
        "title": f["title"],
        "description": f.get("description", ""),
        "severity": severity_map.get(f.get("severity", 0), "Info"),
        "vuln_id_from_tool": f.get("category", ""),
        "references": f"OWASP MCP Top 10: {owasp}" if owasp else "",
        "mitigation": json.dumps(f.get("mitigation")) if f.get("mitigation") else "",
        "active": True,
        "verified": False,
    })

print(json.dumps(findings, indent=2))

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Step 3: Submit to DefectDojo

Use the DefectDojo v2 API to create findings: 
# Generate API token in DefectDojo: Settings > API Tokens
export DEFECTDOJO_URL="https://defectdojo.example.com"
export DEFECTDOJO_API_TOKEN="your-token-here"

# Create or identify your engagement
curl -X GET "$DEFECTDOJO_URL/api/v2/engagements/?product=1" \
  -H "Authorization: Token $DEFECTDOJO_API_TOKEN" | jq '.results[] | {id, name}'

# Submit findings
curl -X POST "$DEFECTDOJO_URL/api/v2/findings/" \
  -H "Authorization: Token $DEFECTDOJO_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d @transformed_findings.json

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SARIF Import Alternative

DefectDojo also supports SARIF import. Generate SARIF from qai and import directly: 
qai audit scan \
  --transport stdio \
  --command "npx @modelcontextprotocol/server-memory" \
  --format sarif \
  --output results/scan.sarif

# Import SARIF via DefectDojo reimport endpoint
curl -X POST "$DEFECTDOJO_URL/api/v2/reimport-scan/" \
  -H "Authorization: Token $DEFECTDOJO_API_TOKEN" \
  -F "file=@results/scan.sarif" \
  -F "scan_type=SARIF" \
  -F "engagement=42"

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CI/CD Integration

Automate the scan-and-import workflow in GitHub Actions: 
name: MCP Audit to DefectDojo

on:
  schedule:
    - cron: '0 2 * * 1'  # Weekly Monday 2 AM

jobs:
  audit:
    runs-on: ubuntu-latest
    steps:
      - name: Install qai
        run: pip install q-uestionable-ai

      - name: Run audit
        run: |
          qai audit scan \
            --transport stdio \
            --command "npx @modelcontextprotocol/server-memory" \
            --format sarif \
            --output scan.sarif

      - name: Import to DefectDojo
        run: |
          curl -X POST "${{ secrets.DEFECTDOJO_URL }}/api/v2/reimport-scan/" \
            -H "Authorization: Token ${{ secrets.DEFECTDOJO_TOKEN }}" \
            -F "file=@scan.sarif" \
            -F "scan_type=SARIF" \
            -F "engagement=${{ vars.DEFECTDOJO_ENGAGEMENT_ID }}"
DefectDojo automatically deduplicates SARIF findings on reimport. Repeated scans update existing findings rather than creating duplicates.