• CRITICAL
  • WARNING
  • PASS
  • HUMAN

How to audit generated API keys with your AI

Connect your AI to the Password Strength Scorer to run entropy checks on service credentials. It turns raw strings into actionable security data.

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Short answer

How do I audit generated API keys with my AI?

You feed your API keys or service credentials to your AI, which then uses the Password Strength Scorer to calculate entropy and crack time estimates. You get a clear breakdown of whether your keys are actually secure or just long strings of text.

Where every issue lands.

The outcomes of an audit

The AI processes your credentials and sorts the results into these categories.

CRITICAL

Immediate rotation needed

The AI identifies keys with low entropy that are vulnerable to brute force. You'll know exactly which credentials to revoke immediately.

WARNING

Substandard entropy

These keys meet basic length requirements but lack the complexity to resist modern cracking attempts. You get specific feedback on why they are weak.

PASS

Secure credentials

The AI confirms these keys meet your mathematical requirements. You receive a confirmation that these are safe to use for service authentication.

HUMAN

Manual review required

If a key format is unrecognized or highly unusual, the AI flags it for you to inspect manually. It won't make assumptions about non-standard patterns.

The workflow

What your AI does when the keys arrive.

The AI handles the math so you don't have to manually calculate complexity.

  1. Ingest credentials

    Your AI pulls the list of generated keys from your provided source, such as a configuration file or a secret manager.

    score_password_strength

  2. Calculate entropy

    The agent runs each key through a mathematical check to determine its actual randomness and bit strength.

    score_password_strength

  3. Estimate crack time

    The AI translates the entropy score into a real-world estimate of how long a brute-force attack would take.

    score_password_strength

  4. Generate report

    The AI organizes the findings into a summary of which keys are safe and which ones pose a risk.

    score_password_strength

Try it

Copy these to start.

Use these prompts to kick off an audit with your agent.

Starting points

Swap the bracketed text with your actual file paths or secret names.

zxcvbn Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_NJZOdN2hIY4Yj0pMDCcP324aC60LQVkrwnFN1xP0/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — zxcvbn capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "password-strength-scorer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_NJZOdN2hIY4Yj0pMDCcP324aC60LQVkrwnFN1xP0/mcp"
    }
  }
}
Copy into chat04

  • Audit the API keys found in my config.yaml file.

  • Check the strength of the service credentials in my AWS Secrets Manager.

  • Run an entropy check on the new service tokens I just generated in my dev environment.

  • Compare the crack time estimates for the keys listed in my deployment script.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Password Strength Scorer once, then ask.

You only need to link the MCP to your client once. Your credentials stay encrypted, and you can start auditing immediately.

Connect Password Strength Scorer to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my API keys?

    No. The AI can only read and score the keys you provide. It has no permission to modify, delete, or rotate your credentials.

  • 02

    Does the AI store my secrets?

    No. The AI processes the strings to calculate entropy, but it does not save or store your keys in a database.

  • 03

    How accurate are the crack time estimates?

    The estimates are based on mathematical entropy models. They represent theoretical brute-force difficulty, not a guarantee against specific targeted attacks.

  • 04

    Can it audit keys in my GitHub repo?

    Yes, if you provide the AI with access to the repository or the specific file containing the keys.

  • 05

    What happens if a key is too short?

    The AI will flag it as low entropy and provide a low crack time estimate, signaling that it needs to be replaced.

  • More questions about Password Strength Scorer? The Connector page answers them. See everything the Password Strength Scorer Connector can do

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