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Scan code and text for leaked secrets and exposed API credentials.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.eltociear/secrets-audit-mcp" yet — see the docs or source repo.
Scan the source code and config files in this project directory, detect potentially leaked API keys, access tokens, and cloud credentials, and list file locations, matched rule names, and risk levels.
A secret scan report with findings, locations, rule types, and risk notes.
Check this batch of logs and exported text for suspected keys or tokens from services like AWS, GitHub, Stripe, and OpenAI, then summarize the results by provider.
A provider-grouped list of suspicious secrets with context and sensitivity notes.
Scan the changed files in this CI run, and if newly added or modified content contains leaked secrets, output the failure reason and the list of matched files.
A CI-friendly detection result showing pass or fail status and detailed findings.
Scan code secrets, verify live keys, and rewrite them to env vars.
Scan codebases for secrets, SAST issues, vulnerable dependencies, and IaC risks.
Scan AI-generated code for injections, secrets, SSRF, and risky patterns.
Scan collaboration and code platforms for leaked secrets and sensitive data.
Scan files, configs, or text for leaked secrets and risky misconfigurations.
Scan code for security risks before commits with automated review assistance.