Guardrails Mcp Server — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Guardrails Mcp Server (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
\ \ \
MCP server for AI agent security guardrails. Provides input validation, prompt injection detection, PII redaction, output filtering, policy enforcement, rate limiting, and comprehensive audit logging.
| Tool | Description |
|---|---|
validate_input | Validate and sanitize incoming requests through all guardrail checks |
filter_output | Filter and redact sensitive data (PII, secrets, credentials) from responses |
check_policy | Evaluate a request against security policies (RBAC, resource access, quotas) |
get_audit_logs | Query the audit log with filtering by type, user, time range |
get_stats | Get engine statistics including active users, block rate, request counts |
update_config | Update guardrail configuration at runtime |
npm install{
"mcpServers": {
"guardrails": {
"type": "stdio",
"command": "node",
"args": ["/path/to/guardrails-mcp-server/index.js"]
}
}
}src/engine/GuardrailsEngine.js # Core orchestration
src/validators/InputValidator.js # Prompt injection and PII detection
src/filters/OutputFilter.js # Redaction and harmful content blocking
src/policies/PolicyEngine.js # RBAC, quotas, maintenance windows
src/audit/AuditLogger.js # Event logging and metrics~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.