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secrets-audit-mcp

secrets-audit-mcp

secrets-audit-mcp

MCP Registry

MCP server that detects leaked credentials in source code. Zero dependencies. Single file.

License: MIT Python 3.6+ MCP Sister: skill-audit-mcp

Detects API keys, OAuth tokens, private keys, webhooks, and crypto wallet secrets across 30+ providers (AWS, GCP, GitHub, Stripe, OpenAI, Anthropic, Slack, Discord, Telegram, Twilio, SendGrid, Heroku, DigitalOcean, npm, HuggingFace, Replicate, Cloudflare, and more).

Companion to skill-audit-mcp (behavioral patterns) — together they cover secrets + behaviors in one MCP toolchain.


Why

Most secret scanners are giant Go binaries (trufflehog, gitleaks). This is a 500-line Python file that runs as an MCP stdio server, so any LLM agent (Claude Desktop, Cursor, Windsurf, Cline) can ask it scan_directory and get a structured report in their tool-call response.

Use cases:

  • Pre-commit hook in CI

  • Agent-driven code review ("did this PR leak credentials?")

  • Audit a freshly-cloned repo before opening it in your shell

  • Inline scan during agent file edits


Related MCP server: env-secret-exposure-analyzer-mcp

Install

# Python (recommended)
git clone https://github.com/eltociear/secrets-audit-mcp.git
python3 secrets-audit-mcp/server.py  # stdio MCP server

# Or via npm wrapper (TBD)
npm install -g @eltociear/secrets-audit-mcp

MCP client config

{
  "mcpServers": {
    "secrets-audit": {
      "type": "stdio",
      "command": "python3",
      "args": ["/path/to/secrets-audit-mcp/server.py"]
    }
  }
}

Tools

Tool

Use case

scan

Scan inline text/content

scan_file

Scan a single file

scan_directory

Scan a directory recursively (skips .git, node_modules, __pycache__, etc.)

All return a risk score (0-100), severity bucket (CRITICAL/HIGH/MEDIUM/LOW/SAFE), and per-finding details with line numbers and redacted matches.


Coverage

Providers (32 rules total):

  • Cloud: AWS access/secret, GCP API key + service-account JSON, Heroku, DigitalOcean, Cloudflare

  • Source/CI: GitHub PAT/OAuth/App/Refresh/Fine-grained, npm tokens, Docker Hub PAT

  • Payments: Stripe secret + restricted

  • Comms: Slack bot/user/webhook, Discord bot/webhook, Telegram bot, Twilio, SendGrid, Mailgun

  • AI/ML: OpenAI, Anthropic, HuggingFace, Replicate

  • Web3: Ethereum private key (context-aware), Alchemy, Infura

  • Keys: RSA / EC / OpenSSH / PGP / generic PEM private keys

  • Generic: JWT, apikey="..." heuristic, generic secret assignments

Each match is redacted (AKIA***MPLE) before being returned, so the report itself doesn't leak the secret to the next LLM hop.


CI usage

- name: Secrets audit
  run: |
    python3 server.py <<EOF | jq -r '.result.content[0].text'
    {"jsonrpc":"2.0","id":1,"method":"tools/call",
     "params":{"name":"scan_directory","arguments":{"path":"."}}}
    EOF

A first-class GitHub Action will ship as eltociear/secrets-audit-action@v1.


Sister project — skill-audit-mcp

skill-audit-mcp covers behavioral malware patterns (download-and-execute, prompt injection, credential exfiltration). Run both for full coverage:

Layer

Tool

Detects

Static behaviors

skill-audit-mcp

curl-pipe-sh, exfiltration, prompt injection (68 patterns)

Static secrets

secrets-audit-mcp

leaked keys/tokens/PEMs (32 rules)


Subscribe — security pulse

Polar.sh — Security Pulse Monthly ships a monthly briefing on new MCP server vulnerabilities, secrets-audit-mcp rule updates, and mitigation playbooks. $5/mo.

Polar.sh — Pro Audit Stack adds 50 paid scan credits + Discord + custom rule submission. $20/mo.


License

MIT. See LICENSE.

Free MCP vs paid x402

This MCP server is free. For server-side / batch / no-install use, the same scanner is a pay-per-call x402 HTTP API: POST https://eltociear-secrets-audit.hf.space/audit ($0.01 USDC on Base) and /audit/url ($0.03). In the official MCP Registry as io.github.eltociear/secrets-audit-mcp.

Professional audit services

Maintained by the same author — paid services on Polar (Stripe checkout):

Full catalog: polar.sh/eltociear

Also live: clean-read ($0.005 / call)

Same operator, same x402 rails: clean-read turns any URL into clean Markdown for AI agents — fetches the page, strips nav/ads/boilerplate (trafilatura), returns the main content with title and word count. POST https://eltociear-skill-audit.hf.space/read — $0.005 USDC on Base, no signup.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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