Scans projects for secret exposure: leaked API keys, unprotected .env files, and secrets in logs.
About
Scans projects for secret exposure: leaked API keys, unprotected .env files, and secrets in logs.
Security Report
This is a well-designed security scanning tool with proper architecture, sensible defaults, and good code quality. It uses standard MCP patterns correctly and includes comprehensive secret detection logic. No authentication is required (appropriate for a local analysis tool), and permissions align with its purposeβfilesystem scanning and git history inspection. Minor code quality observations around error handling and subprocess safety do not significantly impact the score. Package verification found 1 issue.
7 files analyzed Β· 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-vola-trebla-env-secret-exposure-analyzer-mcp": {
"args": [
"-y",
"env-secret-exposure-analyzer-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
π env-secret-exposure-analyzer-mcp
Your AI agent is one debug session away from leaking your secrets.
MCP server that scans your project for secret exposure risks β hardcoded API keys, unprotected .env files, and console.log calls that print credentials at runtime. Before your agent accidentally reads them out loud.
π€ The problem
You ask your AI agent to debug a config issue. It reads src/config.ts. Inside:
console.log('Config loaded:', JSON.stringify(config));
console.log(process.env.DATABASE_PASSWORD);
The agent now has your database password in its context. It might log it, include it in a summary, or pass it to another tool. And your .env isn't in .gitignore, so the next git push will do the rest.
None of this requires the agent to be malicious. It just needs to be helpful.
env-secret-exposure-analyzer-mcp catches this before it happens. π
π οΈ Tools
scan_for_secrets
Scans source files, config files, and .env files for 20+ secret patterns. Returns file path, line number, severity, and a masked preview β never the full value.
Detects:
- AWS access keys + secret keys
- GitHub tokens (
ghp_,gho_,ghs_) - Stripe secret/publishable keys + webhook secrets (
whsec_) - Anthropic, OpenAI API keys
- SendGrid (
SG.xxx), Twilio auth token + account SID - Google API keys + OAuth client secrets (
GOCSPX-) - Slack tokens (
xox*) - Private keys (
-----BEGIN ... PRIVATE KEY-----) - Database URLs with embedded credentials (
postgres://user:pass@host) - JWT secrets, session secrets, encryption keys
- Sentry DSN, Datadog API key
- Generic hardcoded passwords, secrets, tokens
Secret Scan Results
Project: /project
Files scanned: 24
Findings: 5
[CRITICAL] .env:3 β AWS Access Key
Preview: AKIA****MPLE
[CRITICAL] .env:7 β Database URL with password
Preview: post****sswd
[CRITICAL] src/auth.ts:12 β Hardcoded JWT secret
Preview: my-s****ecret
[HIGH] .env:14 β Hardcoded session secret
Preview: sess****key!
[MEDIUM] .env:28 β Sentry DSN
Preview: http****7890
check_gitignore_coverage
Checks whether sensitive files (.env, .env.local, secrets.json, private keys, certificates) are covered by .gitignore. Flags files that could be accidentally committed.
Gitignore Coverage Check
Project: /project
β .env β Add to .gitignore: .env
β .env.local β Add to .gitignore: .env.local
β secrets.json
scan_for_log_leaks
Scans source files for console.log / logger calls that print process.env variables or objects with secret-sounding names at runtime. Catches the most common "it's just a debug line" mistakes.
Log Leak Scan
Project: /project
Files scanned: 18
Findings: 3
[CRITICAL] src/config.ts:8
console.log("Config loaded:", JSON.stringify(config));
[HIGH] src/server.ts:42
console.log(process.env.AWS_SECRET_ACCESS_KEY);
[HIGH] src/db.ts:15
logger.info({ password: dbConfig.password });
π§ͺ What it looks like in practice
A realistic .env with 20 secrets β database URLs, AWS, Stripe, Twilio, SendGrid, Google OAuth, Sentry, JWT secrets, encryption keys. Before this MCP: an AI agent reads the file, has no idea what's sensitive, and proceeds to use those values in generated code or responses.
After one scan_for_secrets call: 16 findings, all categorized by severity, all previews masked. The agent knows exactly what's dangerous before it touches anything.
β‘ Setup
{
"mcpServers": {
"secret-scanner": {
"command": "npx",
"args": ["-y", "env-secret-exposure-analyzer-mcp"]
}
}
}
π Usage
"Scan this project for any secrets or API keys that might be exposed. Check if .env files are in .gitignore, and look for any console.log calls that might be leaking credentials."
The agent runs all three tools in sequence and reports a full picture: what's hardcoded, what's not protected, what's being logged.
Works great alongside:
- tsconfig-inheritance-flattener-mcp β for TypeScript config analysis
- release-readiness-triage-mcp β for CI triage before release
- ast-impact-mapper-mcp β for codeβtest correlation
π¦ Links
- npm: npmjs.com/package/env-secret-exposure-analyzer-mcp
- GitHub: github.com/vola-trebla/env-secret-exposure-analyzer-mcp
License
MIT
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