How to Use the Password Strength Evaluator MCP in Vercel AI SDK

Build live security audits into your UI with the Password Strength Evaluator MCP Server and Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Password Strength Evaluator MCP to Vercel AI SDK

Create your Vinkius account to connect Password Strength Evaluator to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Password Strength Evaluator with Vercel AI SDK

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Real-time entropy analysis in AI-sdk

Feed user inputs directly into the `evaluate_password` tool to get instant security feedback without hitting an external API. The results stream right into your React or Next.js components as the user types. This keeps your application logic snappy and avoids the latency of network calls. You get the raw JSON response containing crack time and strength scores to display immediately in your frontend.

Automated security policy enforcement

Program your agent to reject weak credentials before they ever hit your database. Use the `evaluate_password` tool to check for dictionary words, repeated patterns, or keyboard sequences that humans often rely on. Your application logic handles the score returned by the tool to decide whether to allow a password update. It turns a static security requirement into an interactive conversation between your AI client and the user.

Local-only credential evaluation

Run the `evaluate_password` tool entirely within your local environment to ensure sensitive data never leaves your infrastructure. This prevents plaintext passwords from reaching third-party servers during the audit process. Security audits stay contained within your edge functions or server-side logic. You maintain full control over the data pipeline while providing users with clear, actionable warnings about their chosen credentials.

Setup guide

Set up Password Strength Evaluator MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Password Strength Evaluator tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Password Strength Evaluator transactions",
});

console.log(text);
await mcpClient.close();

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