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eltociear avatar

Secrets Audit Mcp

eltociear/secrets-audit-mcp

This is a lightweight secret scanner that runs as an MCP stdio server, exposing three tools: scan inline text, scan a single file, or scan an entire directory recursively. It detects 32+ credential patterns including AWS keys, GitHub tokens, Stripe secrets, OpenAI and Anthropic API keys, private PEM blocks, and Ethereum wallet keys. Every match gets redacted before returning to the LLM, so your agent gets a risk score and line numbers without leaking the actual secret downstream. It's a 500-line Python file with zero dependencies, purpose-built for agent-driven code review, pre-commit checks, or auditing repos before you clone them into your shell. Ships alongside a sister project for behavioral malware patterns if you want full static coverage.

last updated
Jun 7, 2026
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SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workWaxBlock anything with supervision, without erasing your iPhoneOpen StepsSponsoredFree and open-source skills that make AI coding agents easier to understand, verify, and control.

Readme

secrets-audit-mcp

smithery badge 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

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

ToolUse case
scanScan inline text/content
scan_fileScan a single file
scan_directoryScan 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:

LayerToolDetects
Static behaviorsskill-audit-mcpcurl-pipe-sh, exfiltration, prompt injection (68 patterns)
Static secretssecrets-audit-mcpleaked 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):

  • MCP Security Audit Report — $5 — one-off audit of your MCP server: 68 attack patterns, severity-rated PDF report with concrete fixes.
  • Security Pulse — $5/mo (annual $50) — monthly briefing on newly disclosed MCP server vulnerabilities, scan stats across 100+ tracked repos, mitigation playbooks.
  • Pro Audit Stack — $20/mo — for teams running MCP servers in CI/CD: 50 hosted scans/month, Discord access, 24h SLA on vulnerability questions.

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.

Details

Repository
github.com/eltociear/secrets-audit-mcp
Categories
Cloud & Infrastructure, Developer Tools, Finance & Commerce
Package
ghcr.io/eltociear/secrets-audit-mcp:1.0.1
Transport
STDIO
Registry
MCP registry, active

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  • Contract Guard Mcp

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