How to Use the HTML to Text Extractor MCP in CrewAI

Q: What if my agent needs to understand the page layout, not just the text?

Then this tool isn't the right fit for that specific task. extracttext intentionally throws away all layout and structural tags. For tasks that require DOM awareness, you'll have to feed the raw HTML to your agent and accept the higher token cost.

Equip your CrewAI agents to process web content without wasting tokens on HTML.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect HTML to Text Extractor MCP to CrewAI

Create your Vinkius account to connect HTML to Text Extractor to CrewAI 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

Setup HTML to Text Extractor with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

The Perfect Tool for a Researcher Agent

The `extract_text` tool is purpose-built for agents tasked with gathering information. When your researcher agent scrapes a webpage, its first action should be to call this tool. It strips all the noise—CSS, JavaScript, ads—and gets right to the point. This simple step ensures the agent works with clean data from the very beginning. It's the difference between reading a book and reading a book with the printer's manual bound into every other page.

Keep Your Crew's Shared Memory Clean

In CrewAI, what one agent does affects the whole team. If a researcher dumps raw HTML into the shared context, every subsequent agent has to wade through it. This wastes tokens and risks confusing the other agents. Instead, have your researcher use `extract_text` and pass only the clean text to the analyst. The shared memory stays lean, the analyst's context is focused, and the entire crew operates more efficiently. This is how you build smart, collaborative teams.

Run Autonomous Crews More Affordably

For long-running crews that monitor websites or process incoming data, token costs add up fast. This MCP Server is a critical piece of infrastructure for making autonomous operations sustainable. It cuts data volume by up to 95% before it ever hits an LLM. By making text extraction a standard, low-cost tool call, you ensure your crew can run 24/7 without racking up huge bills. It's a simple, practical way to manage operational expenses.

Setup guide

Set up HTML to Text Extractor MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke HTML to Text Extractor tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="HTML to Text Extractor Analyst",
    goal="Access and analyze HTML to Text Extractor data via MCP.",
    backstory="Expert analyst with direct HTML to Text Extractor access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent HTML to Text Extractor transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="HTML to Text Extractor Analyst",
        goal="Access and analyze HTML to Text Extractor data via MCP.",
        backstory="Expert analyst with direct HTML to Text Extractor access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent HTML to Text Extractor transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

Connect HTML to Text Extractor now

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 CrewAI

The easiest way is to pass your Vinkius server URL directly into the `mcps` list when defining an Agent. CrewAI will automatically discover and enable the `extract_text` tool for that agent.

Yes. You can assign the MCP server to a specific researcher agent, or you can make it available to the entire crew. A common pattern is for one agent to clean the data and pass the results to another.

Because token usage is multiplied across agents. Cleaning the data once at the source with `extract_text` saves tokens for every single agent that needs to access that information later. It has a compounding effect on cost savings.

Then this tool isn't the right fit for that specific task. `extract_text` intentionally throws away all layout and structural tags. For tasks that require DOM awareness, you'll have to feed the raw HTML to your agent and accept the higher token cost.

It's handled with a zero-trust model. Your agent sends raw HTML content to the server, but the Vinkius platform processes it in an isolated, single-use sandbox. The data is never written to disk or logged, and is gone the instant the response is sent.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript