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Connect Password Strength Scorer to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get real crack time estimates that AI alone can't provide.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through zxcvbn.

  1. 01

    Score password strength

    This capability uses the zxcvbn engine to calculate a 0-4 strength score and estimate crack times. It identifies dictionary words, keyboard patterns, and l33t-speak to provide actionable feedback.

Real work

What teams actually run

01

Credential Auditing

Check if newly generated API keys or service account passwords meet entropy requirements.

02

Policy Validation

Test if your company's password complexity rules are actually effective against real-world patterns.

03

User Feedback Simulation

Simulate how a user might attempt to bypass security with predictable patterns like 'Summer2024!'.

04

Automated Security Testing

Integrate strength scoring into your CI/CD pipelines to audit generated secrets.

Automate a task

Put zxcvbn to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

zxcvbn works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put zxcvbn to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1951ms average. Fast in production.

zxcvbn is checked daily against the live service.

Daily averagePeak 2274ms
Oct 3Today
Fastest day
1640ms
Slowest day
2274ms
14-day trend
Stable-3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of zxcvbn, so you can see the experience inside your AI.

It does not authenticate your account with zxcvbn. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

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

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up zxcvbn in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work zxcvbn owners hand off.

Security professionals and developers who need to validate password policies or audit generated credentials.

  • 01

    Security Engineers

    They use it to audit password complexity requirements and verify the strength of user-generated credentials.

  • 02

    Backend Developers

    They use it to test the entropy of auto-generated API keys or temporary tokens.

  • 03

    DevOps Engineers

    They use it to ensure compliance with security standards during automated deployment workflows.

FAQ

Questions zxcvbn owners ask.

  • 01

    Is this MCP secure for testing real passwords?

    Yes. The engine runs locally, meaning the password never leaves the engine during analysis, ensuring zero data leakage.

  • 02

    How is this different from asking an AI to check a password?

    AI models often rely on character variety rules. This MCP uses the zxcvbn engine to perform real combinatorial analysis against dictionaries, dates, and keyboard patterns.

  • 03

    What does the 0-4 score mean?

    The score represents the difficulty of cracking the password. A 0 is very weak, while a 4 is very strong.

  • 04

    Which AI clients can use this MCP?

    Any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 05

    Does it detect common substitutions?

    Yes, it specifically identifies l33t-speak and other common pattern substitutions used to hide simple words.

  • 06

    Why can't my AI evaluate password strength?

    AI checks superficial rules like 'has uppercase + number + symbol'. zxcvbn does combinatorial analysis. it knows 'P@ssw0rd' is just 'Password' with l33t substitutions, and rates it as weak despite passing every 'rule-based' check.

  • 07

    Is the password sent to any external server?

    No. 100% local. The embedded dictionary and pattern matching engine run entirely in-process. Zero network calls, zero data leakage, zero risk.

  • 08

    What do the crack time numbers actually mean?

    Four real attack scenarios: Online throttled (100/hour. most login pages), Online unthrottled (10/sec), Local slow hash (10K/sec. bcrypt), Local fast hash (10B/sec. MD5/SHA). Choose the scenario matching your system.

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