How to Use the HTML to Text Extractor MCP in OpenAI Agents SDK

Q: How do I connect the HTML to Text Extractor to the OpenAI Agents SDK?

Initialize MCPServerStreamableHttp with your Vinkius endpoint URL. Pass the resulting object into your Agent's mcpservers list.

Strip messy HTML into plain text before hitting the OpenAI Agents SDK context window.

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Connect HTML to Text Extractor MCP to OpenAI Agents SDK

Create your Vinkius account to connect HTML to Text Extractor to OpenAI Agents 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 OpenAI Agents SDK

Ask AI about this MCP

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Claude

Perplexity

Cut Token Waste in OpenAI Agents SDK

`extract_text` takes bloated HTML blobs and strips them down to bare text. You don't want your agent burning tokens on inline CSS, tracking pixels, or nested div structures when it only needs to read the actual content. Connect this MCP Server using `MCPServerStreamableHttp` and pass it to your Agent constructor. Turn on `cacheToolsList=True` to speed up initialization, and let the OpenAI dashboard trace exactly how much context you saved on every extraction call.

Safe Data Handoffs Between Agents

`extract_text` acts as a necessary filter when one agent scrapes a webpage and hands the data to another agent for summarization. Feeding raw DOM structures into an LLM is a great way to trigger hallucinations. You get clean strings back. Set your guardrails to validate the output length, ensuring the extraction didn't return an empty string from a malformed page. The handoff stays clean, and your production system doesn't crash on weird markup.

Handle Heavy Emails in Production

`extract_text` turns unreadable corporate HTML emails into simple paragraphs. Emails are notorious for terrible markup that confuses standard text parsers. Your agent calls the tool, grabs the actual message, and ignores the formatting. Because this runs through the OpenAI Agents SDK, you can track the exact token reduction in your dashboard and prove the cost savings to your team using this MCP Server.

Setup guide

Set up HTML to Text Extractor MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all HTML to Text Extractor tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives HTML to Text Extractor tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate HTML to Text Extractor tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="HTML to Text Extractor Agent",
            instructions="You have access to HTML to Text Extractor tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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.

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Common questions about HTML to Text Extractor MCP in OpenAI Agents SDK

Initialize `MCPServerStreamableHttp` with your Vinkius endpoint URL. Pass the resulting object into your Agent's `mcp_servers` list.

Yes. The tool flattens table content into readable text blocks. It removes the structural tags but keeps the text elements sequential.

Offloading the extraction to this MCP Server keeps your agent's runtime environment lightweight. You don't need to install or manage heavy HTML parsing dependencies in your production container.

It does. Use the async with context manager when setting up the server. Your agent won't block while waiting for large DOMs to process.

Vinkius processes your raw HTML payloads in ephemeral V8 isolates. The text extraction happens in a zero-trust sandbox, and the memory drops immediately after returning the string.

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