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How to Use the Regex Toolkit MCP in Vercel AI SDK

Stream deterministic regex validation and PII masking directly to your Next.js UI using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Regex Toolkit MCP to Vercel AI SDK

Create your Vinkius account to connect Regex Toolkit 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

Key Capabilities

Stream raw text extraction directly to your Vercel AI SDK UI

Stop waiting for an LLM to finish thinking before you show data. Connect the `extract_pattern` tool to your streaming text pipeline so your users see emails, URLs, and phone numbers pop up on the screen instantly. Your Next.js edge functions run this MCP Server to parse massive text blocks without blocking the main thread. The parsed results feed into your UI components in real-time, giving you speed that raw model generations can never match.

Redact sensitive PII in real-time edge streaming

Secure user inputs before they ever hit your database or a third-party model. The `mask_sensitive_data` tool swaps out phone numbers and email addresses with standard redacted tags inside your Vercel AI SDK application. Because this runs as a native tool call during the streaming lifecycle, you catch sensitive strings early. Your frontend shows the safe, redacted version of the text to the user immediately, keeping your data pipeline clean.

Stop model hallucinations with strict validation

Models are bad at verifying format structures, so we offload that work. This MCP Server lets your agent call the `validate_pattern` tool to confirm if a string is a real email or URL before accepting it. If the validation fails, your Vercel AI SDK agent gets a hard boolean rejection. It can then prompt the user to correct the input in the chat box, preventing broken data from corrupting your database.

Setup guide

Set up Regex Toolkit 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Regex Toolkit tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Regex Toolkit transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by regex-toolkit. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Regex Toolkit MCP in Vercel AI SDK

You wrap the `extract_pattern` tool call in your standard `streamText` block. If the server throws an error or connection drops, the Vercel AI SDK handles it through its built-in error boundaries, preventing your UI from freezing.
Yes, because the MCP Server runs on Vinkius, your edge functions only need to make a lightweight HTTP call. You do not need to bundle heavy regex libraries or node-specific dependencies into your Vercel AI SDK edge runtime.
No, this server focuses strictly on standard formats like emails, URLs, and phone numbers. If you need custom patterns, you have to write those in your frontend code, but the `validate_pattern` tool covers the core PII formats out of the box.
You must call `mcpClient.close()` once your `generateText` or `streamText` execution finishes. This ensures you do not leak HTTP connections or leave active sockets hanging in your serverless environment.
Absolutely. The Vinkius sandbox processes your text blobs in a secure, ephemeral V8 isolate. No emails, phone numbers, or URLs are ever logged or stored on our servers, and the execution environment is destroyed immediately after your validation call completes.

Start using the Regex Toolkit MCP today

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