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How to Use the HTML to Text Extractor MCP in Mastra AI

Build stronger Mastra AI workflows by feeding your agents clean, HTML-free text from the start.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect HTML to Text Extractor MCP to Mastra AI

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

GDPR Free for Subscribers

Sanitize Data at Step One

Use the `extract_text` tool as the first step in any data processing workflow. It takes an entire HTML document—from an email body or a web scrape—and returns only the readable text. No more, no less. This gives your Mastra AI agent a clean, predictable input for its next steps. Garbage in, garbage out? Not anymore. This is your filter.

Prevent Downstream Workflow Failures

Complex workflows break when a step gets unexpected input. A stray `<script>` tag or CSS rule can easily confuse an agent that's trying to summarize text or extract entities. This is a common point of failure. By using `extract_text` upfront, you standardize the data. Your agent's later steps, like analysis or API calls, become far more reliable because they aren't dealing with random HTML junk.

A Smarter MCP Server for Mastra AI

Mastra AI is built for resilience, with automatic retries and branching logic. This tool makes your workflows more efficient, so you don't have to lean on those retries as often. It's about getting it right the first time. Fewer errors mean faster execution and lower token costs. When your agent isn't wasting context on HTML tags, its prompts are more focused and its work gets done cheaper. This MCP Server is a simple way to improve your bottom line.

Setup guide

Set up HTML to Text Extractor MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All HTML to Text Extractor tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "html-to-text-extractor-mcp-client",
  servers: {
    "html-to-text-extractor-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "HTML to Text Extractor Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to HTML to Text Extractor tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent HTML to Text Extractor transactions"
);
console.log(result.text);

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.

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Common questions about HTML to Text Extractor MCP in Mastra AI

After installing the `@mastra/mcp` package, configure the MCPClient with your server URL. The `extract_text` tool will then be available to your agent's tool list for use in any workflow step.
Yes, it acts as a preventative measure. By cleaning the HTML at the start of a workflow, you eliminate a major source of errors, making your agent's logic simpler and its execution more reliable.
Using this managed MCP server offloads the dependency and compute load. You don't have to add parsing libraries to your agent's environment, and the extraction runs on Vinkius infrastructure, not yours.
It's pretty resilient. The parser is designed to handle the messy HTML you often find on the web. It will do its best to pull out readable text even if the markup isn't perfect.
The server receives the raw HTML content you pass to the `extract_text` tool. Your Mastra AI agent connects via a secure URL you control, and the MCP Server itself is stateless—it doesn't store or log the HTML after the request is complete.

Start using the HTML to Text Extractor MCP today

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