- CRITICAL
- WARNING
- CLEAN
- HUMAN
Short answer
How do I stop my AI from writing secrets in code?
Your agent uses this MCP to scan your source files for any plain-text API keys, tokens, or passwords. It identifies these vulnerabilities so you can replace them with environment variables. You'll see exactly what needs to be moved.
Where findings land.
The audit outcomes.
The AI categorizes every leak it finds into these specific buckets.
CRITICAL
Immediate leaks found
The AI identifies active credentials like AWS keys or Stripe tokens. You get a direct list of exactly what needs to be revoked.
WARNING
Pattern matches
The agent flags suspicious strings that look like keys but aren't confirmed. You'll see these in your audit report for manual review.
CLEAN
Verified safe files
Files that pass the scan are marked as clear. This gives you confidence that your current files aren't leaking data.
HUMAN
Manual remediation
The AI cannot move secrets to a manager for you. You must take the identified leaks and manually update your environment variables.
The workflow
What your AI does when the audit starts.
The agent handles the heavy lifting of scanning and classification.
Scan source files
The agent reads through your local or remote files to look for sensitive patterns.
validate_security_auditIdentify secrets
It matches strings against known credential formats like private keys or auth tokens.
validate_security_auditClassify risk levels
The AI determines if a finding is a confirmed secret or just a suspicious string.
validate_security_auditGenerate report
The agent compiles the findings into a structured summary for your review.
validate_security_audit
Try it
Copy these to start.
Use these prompts to trigger a security scan immediately.
Starting points
Replace the file paths or repository names with your actual project details.
Security Audit Prover Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_YFdV1bWwTQunQbycdNkSfVR8B9iG4CHnXUinGe4h/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Security Audit Prover capabilities are ready to use.
{
"mcpServers": {
"security-audit-prover-mcp": {
"url": "https://edge.vinkius.com/vk_preview_YFdV1bWwTQunQbycdNkSfVR8B9iG4CHnXUinGe4h/mcp"
}
}
}Run a security audit on my current directory to find hardcoded API keys.
Check the /src/config folder for any plain-text passwords.
Scan the main.py file and tell me if any secrets are exposed.
Audit my entire repository and list all high-risk credential leaks.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Security Audit Prover once, then ask.
Just click the link to connect the MCP to your client. Your credentials stay encrypted and the setup is handled on our end.
Connect Security Audit Prover to your AIFAQ
How this task behaves.
- 01
Can the AI automatically move my secrets to a secret manager?
No. The AI only identifies the secrets. You have to manually move them to your environment variables or secret manager.
- 02
Will the AI change my source code?
No. The AI only reads your files to perform the audit. It does not write or modify your code.
- 03
Does it scan every single file in my project?
It scans the files and paths you specify in your prompt.
- 04
Can it detect custom secret formats?
It detects standard patterns, but you can ask the AI to look for specific string patterns unique to your company.
- 05
Is the scan real-time?
The scan happens whenever you trigger the tool through your agent.
More questions about Security Audit Prover? The Connector page answers them. See everything the Security Audit Prover Connector can do
Connect Security Audit Prover to Claude, Cursor, ChatGPT & more
