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Scan AI coding tools for secrets, config risks, and dependency vulnerabilities.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@arcwall/mcp-server" yet — see the docs or source repo.
Run a security scan on my AI coding tool environment, focusing on secret leaks, MCP configuration vulnerabilities, malicious agent instruction risks, and known dependency vulnerabilities.
A security scan report listing findings, severity levels, and remediation recommendations.
Run a pre-commit security check to scan the repository for sensitive data, risky configurations, prompt injection risks, and issues that should block the commit.
A pre-commit check report stating whether the commit is safe and which issues must be fixed first.
Generate a threat modeling summary for the current AI coding workflow, identifying possible attack surfaces including prompt injection, configuration abuse, dependency risks, and credential exposure.
A threat modeling summary outlining key attack surfaces, potential impact, and prioritized mitigations.
Scan codebases for LLM usage, AI frameworks, and exposed secrets.
Scan codebases for secrets, SAST issues, vulnerable dependencies, and IaC risks.
Scan MCP server configs for injections, secrets, and dangerous commands.
Analyze AI security, scan vulnerabilities, and monitor code leaks efficiently.
Scan local file systems for vulnerabilities and leaked secrets using Trivy and Gitleaks.
Add security scanning, auditing, and vulnerability checks to Claude Code and Cursor.