What happens to tables and lists in the HTML?

They get converted to plain text. The structural information from tags like , , and is lost. It's best for processing articles, emails, and other narrative content.

How to Use the HTML to Text Extractor MCP in Vercel AI SDK

Q: How do I use the HTML to Text Extractor with the Vercel AI SDK?

Install the @ai-sdk/mcp package and create a client pointing to your Vinkius server URL. The extracttext tool will then be available to pass into generateText or streamText.

Stream clean web text directly into your Vercel AI SDK app, cutting out the HTML junk and token waste.

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Connect HTML to Text Extractor MCP to Vercel AI SDK

Create your Vinkius account to connect HTML to Text Extractor to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup HTML to Text Extractor with Vercel AI SDK

Ask AI about this MCP

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Claude

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Stop Parsing HTML on the Client

The `extract_text` tool takes raw, messy HTML and gives you back nothing but plain text. It strips out every script tag, style block, and layout element before the data ever reaches your application. You get clean content, ready for your AI client. This means your React or Next.js front-end doesn't have to burn cycles parsing HTML. The text streams from the Vercel AI SDK ready to display, character by character. It just works.

Make UI Streams Faster and Cleaner

When you use `streamText` with raw HTML, the user sees flashes of code and weirdly formatted chunks. It's a bad look. This MCP Server fixes that by pre-processing the content on the server-side. Your agent gets the text, and your UI gets a clean stream of words. The result is a much better user experience where information appears smoothly, not in broken pieces of code.

Cut Token Usage by up to 95%

Feeding raw web pages to an LLM is a massive waste of your context window. All that CSS and JavaScript eats up tokens that you need for the actual prompt and response. The `extract_text` tool is your filter. By sending only the core text, your agent can focus on what matters. This dramatically lowers your inference costs and lets you fit more relevant information into a single call.

Setup guide

Set up HTML to Text Extractor 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 HTML to Text Extractor 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 HTML to Text Extractor transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HTML to Text. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about HTML to Text Extractor MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and create a client pointing to your Vinkius server URL. The `extract_text` tool will then be available to pass into `generateText` or `streamText`.

No, it actually speeds things up. The extraction happens on a dedicated, optimized server before the data hits your app. This offloads the parsing work and reduces the amount of data streamed to the client.

The biggest win is getting clean, streamable text for your UI without writing any parsing code yourself. It also cuts your token costs significantly by removing all the useless HTML boilerplate before calling the LLM.

They get converted to plain text. The structural information from tags like ``, `

` is lost. It's best for processing articles, emails, and other narrative content.

Yes. The server only processes the raw HTML content you send for each request. Vinkius runs the service in an ephemeral sandbox, meaning your data is processed in memory and immediately discarded. Nothing is logged or stored.

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