dingdawg-shield
Stop shipping insecure AI systems. AI security scanning that catches what manual reviews miss.
Comprehensive AI security scanning covering vulnerability detection, governance posture checks, and trust scoring across five pillars: Transparency, Accountability, Fairness, Safety, and Privacy. Get actionable security findings before they become incidents.
For AI Assistants
This MCP server returns structured JSON for seamless integration:
- CVE-referenced vulnerability findings with severity classification
- Five-pillar trust score (0-100) with per-pillar breakdown
- Governance receipt on every call (audit-ready)
- Chain-ready: run
security_scan then feed findings into trust_score for full security posture
Composable with any MCP client: Claude Code, Cursor, VS Code, ChatGPT Desktop, Windsurf.
Install
npx dingdawg-shield
Claude Code
claude mcp add shield -- npx dingdawg-shield
Cursor
Add to .cursor/mcp.json:
{"mcpServers": {"shield": {"command": "npx", "args": ["dingdawg-shield"], "env": {"DINGDAWG_API_KEY": "your-key"}}}}
Full Stack (all 13 agents)
npx dingdawg-setup
Tools
security_scan | Basic vulnerability detection (OWASP Top 10) | LLM-powered deep scan with CVE mapping and remediation |
governance_check | Policy compliance check | Full governance posture with gap analysis |
trust_score | Five-pillar trust score | AI-enhanced trust scoring with trend tracking |
Pricing
- Free: 5 scans/day, basic analysis
- Pro: $49/mo, 100 scans/day, AI-powered deep analysis
- Pay-as-you-go: $0.25/scan, no commitment
Get API key: https://dingdawg.com/developers
Governed
Every call is receipted and auditable. Security findings reference specific vulnerability databases (CVE, CWE, OWASP). Trust scores break down across five pillars with actionable improvement recommendations.
Support
support@dingdawg.com | https://dingdawg.com