Governance receipts for AI agents — AI-driven security scanning with a stack-specific threat model, signed audit receipts for every scan, and trust scores that improve with verified fixes. Supports EU AI Act, Colorado AI Act (SB 24-205), and NIST AI RMF a
Inferred from the transports this listing declares (stdio). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.
DINGDAWG_API_KEYAPI keyoptionalAPI key for paid tier access — get free at dingdawg.com
Declared by the author in the official MCP registry. Forge does not store, broker, or ever see these values — the config below is scaffolded with placeholders you fill in locally.
Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.
Read out of the source npm actually ships, at scan time. The package was never executed. Tools registered dynamically at runtime, or hidden inside bundled or minified code, can be missed — so this is a floor on the tool surface, not a complete census of it.
security_scanScan a codebase for AI security vulnerabilities. Free tier: 1 local scan per day. Checks SQL injection, XSS, SSRF, path traversal, prompt injection, hardcoded secrets, insecure deserialization, missing auth, data leakage, and more.Scan a codebase for AI security vulnerabilities. Free tier: 1 local scan per day. Checks SQL injection, XSS, SSRF, path traversal, prompt injection, hardcoded secrets, insecure deserialization, missing auth, data leakage, and more.
No input schema was published for this tool.
governance_checkCheck if an AI system meets governance requirements. Evaluates transparency, accountability, fairness, safety, and privacy controls. Free — runs locally.Check if an AI system meets governance requirements. Evaluates transparency, accountability, fairness, safety, and privacy controls. Free — runs locally.
No input schema was published for this tool.
trust_scoreGet a quantified trust score for an AI agent or system. $0.05 per check via API, or free local assessment. Returns a 0-100 score with breakdown across reliability, safety, transparency, fairness, and accountability.Get a quantified trust score for an AI agent or system. $0.05 per check via API, or free local assessment. Returns a 0-100 score with breakdown across reliability, safety, transparency, fairness, and accountability.
No input schema was published for this tool.
3 of 3 tools published a description.
Tool names and descriptions are written by the publisher and shown verbatim as inert text. They are the strings an MCP client passes to a model, so Forge scans them for prompt-injection patterns — any finding appears with the security scan above. “Privileged” is a keyword match on the tool name, not an audit of what the tool does: a benign-sounding name can still do anything.
Governance receipts for AI agents — AI-driven security scanning with a stack-specific threat model, signed audit receipts for every scan, and trust scores that improve with verified fixes. Supports EU AI Act, Colorado AI Act (SB 24-205), and NIST AI RMF a
Linked names open Forge’s index of every entry observed exposing that tool. Browse all indexed tools.
The crawl stopped at the depth-4 limit. Anything below that level was never resolved.
The crawl stopped at the 60-package limit. The rest of the tree was never resolved.
36 more resolved packages are not drawn here (display cap: 24). Every dependency carrying an advisory is drawn regardless of the cap. Full inventory (CycloneDX SBOM)
53 declared dependencies never landed in the tree. They are missing from Forge's resolution, not from the package.
+41 more not listed. The counts by reason above cover all of them.
Not followed: peerDependencies. This tree covers runtime dependencies only, so anything those pull in was never resolved.