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  3. Env Secret Exposure Analyzer MCP
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Env Secret Exposure Analyzer MCP

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View Repository

Scans projects for secret exposure: leaked API keys, unprotected .env files, and secrets in logs.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "env-secret-exposure-analyzer-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "env-secret-exposure-analyzer-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”’ More in Security

Documentation Overview

πŸ” env-secret-exposure-analyzer-mcp

npm CI License: MIT

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.


πŸ€” The problem

You ask your AI agent to debug a config issue. It reads src/config.ts. Inside:

typescript
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. πŸ”


πŸ› 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
Code
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.

Code
Gitignore Coverage Check
  Project: /project

  βœ— .env β†’ Add to .gitignore: .env
  βœ— .env.local β†’ Add to .gitignore: .env.local
  βœ“ 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.

Code
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 });

πŸ§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.


⚑ Setup

config.json
{
  "mcpServers": {
    "secret-scanner": {
      "command": "npx",
      "args": ["-y", "env-secret-exposure-analyzer-mcp"]
    }
  }
}

πŸš€ 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 codeβ†’test correlation

πŸ“¦ Links

  • npm: npmjs.com/package/env-secret-exposure-analyzer-mcp
  • GitHub: github.com/vola-trebla/env-secret-exposure-analyzer-mcp

License

MIT

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Env Secret Exposure Analyzer MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "env-secret-exposure-analyzer-mcp": { "command": "npx", "args": ["-y", "env-secret-exposure-analyzer-mcp"] } }

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Technical Specs & Signals

CategoryπŸ”’Security
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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