GuardRail Security
Enterprise multi-language security MCP for AI coding agents. Features hybrid scanning (secrets + Python AST/taint + tree-sitter), repo/PR diff scanning, OSV CVEs, SARIF/SBOM, Docker/K8s checks, policy packs, RBAC, audit logs, and fix drafts.
How to pay
Subscribe
$22/month
Predictable monthly cost with included usage. Best for steady, high-volume traffic.
- Unlimited tools within plan limits
- One API key, billed once a month
- Cancel any time
Overview
GuardRail Security provides AI coding agents with a comprehensive security verification layer that combines deep static analysis with infrastructure compliance. By integrating hybrid engines—including tree-sitter structural analysis, multi-hop taint tracking, and OSV-backed dependency auditing—it allows agents to identify vulnerabilities and configuration drift before code is committed.
Key Capabilities
- audit_code_safety: Executes multi-engine scans to detect secrets, AST-based logical flaws, and taint-analysis vulnerabilities.
- scan_git_diff: Performs targeted security analysis on staged changes or specific git ranges to minimize feedback loops.
- scan_dependencies: Inventory software components and cross-reference them against OSV vulnerability databases.
- audit_infra_security & audit_container_config: Validates IaC templates and container manifests against security best practices and cost-efficiency thresholds.
- export_sarif & generate_sbom: Automates the production of standardized security reports and software bills of materials for compliance pipelines.
- suggest_fixes: Provides LLM-assisted remediation drafts for identified issues, maintaining human-in-the-loop oversight.
Use Cases
- PR Security Gatekeeping: Automatically trigger scan_git_diff and audit_code_safety during a pull request to catch secrets or unsafe patterns before they reach the main branch.
- Automated Compliance Reporting: Use generate_sbom and compliance_report to generate evidence for SOC2 or internal security audits directly from the repository state.
- Cloud Infrastructure Guardrails: Run audit_infra_security on Terraform or Kubernetes manifests to identify misconfigurations and prevent excessive monthly cloud spend.
- Dependency Lifecycle Management: Periodically invoke scan_dependencies to identify outdated libraries with known CVEs and use suggest_fixes to determine safe upgrade paths.
Who This Is For
This server is designed for DevOps engineers, security architects, and senior software developers who manage complex enterprise codebases. It is intended for those who require a programmatic, policy-driven approach to security that integrates directly into autonomous AI coding environments and CI/CD pipelines.