How to Use the ZenRows MCP in CrewAI

Q: Can ZenRows handle international data gathering with CrewAI?

Yes. Use scrapegeo to target content from specific countries (like 'us' or 'gb'). This ensures that the research agent gets market-specific data, no matter where the crew is operating.

Q: Does ZenRows provide raw HTML scraping for CrewAI?

The scrapehtml tool lets your agents get the full, raw HTML source code. This gives the analysis agent maximum material to work with before structuring it later in the pipeline.

Q: What type of web content is handled by ZenRows for CrewAI?

The server handles everything: raw text via scrapemarkdown, structured data, and visual screenshots. Your agents get options ranging from clean Markdown to full pixel-perfect images.

Q: How can I make sure my MCP Server captures modern web content for CrewAI?

The scrapejs tool enables JS rendering via a headless browser, ensuring that dynamic, client-side JavaScript loaded elements are captured correctly and don't get missed.

Run autonomous operations with CrewAI using ZenRows web scraping capabilities.

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Connect ZenRows MCP to CrewAI

Create your Vinkius account to connect ZenRows 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.

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Setup ZenRows with CrewAI

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Specialized Web Scraping for MCP Server

The `scrape_antibot` tool lets your agents bypass bot detection on heavily protected websites. This is key when multiple specialized agents need to gather data from the same source. For maximum operational stealth, use `scrape_premium`. This sets premium proxy access across all agent tasks, ensuring the entire crew operates with high anonymity.

Data Structuring for Agent Teams

When multiple agents gather data, you need structure. The `scrape_autoparse` tool automatically extracts structured data from web pages, giving your monitoring and analysis agents clean inputs. If the agent needs to see *what* it scraped before analyzing it, use `get_screenshot`. This provides a visual confirmation step for the autonomous pipeline.

Comprehensive Scrape Control via MCP Server

Need granular control over the scrape? The `scrape_custom` tool allows you to define advanced scraping parameters like CSS extractors or session IDs. This gives your crew precise instructions. If a step requires waiting for dynamic content, `scrape_wait` pauses execution until a specified element is visible, keeping the multi-agent pipeline accurate.

Setup guide

Set up ZenRows 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 ZenRows tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent ZenRows 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="ZenRows Analyst",
        goal="Access and analyze ZenRows data via MCP.",
        backstory="Expert analyst with direct ZenRows access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent ZenRows 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 ZenRows. 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 ZenRows MCP in CrewAI

ZenRows provides specialized tools that allow agents to operate independently. Whether it’s `scrape_js` or `scrape_html`, the MCP Server executes the data retrieval step, letting your crew focus on analysis and action.

Yes. Use `scrape_geo` to target content from specific countries (like 'us' or 'gb'). This ensures that the research agent gets market-specific data, no matter where the crew is operating.

The `scrape_html` tool lets your agents get the full, raw HTML source code. This gives the analysis agent maximum material to work with before structuring it later in the pipeline.

The server handles everything: raw text via `scrape_markdown`, structured data, and visual screenshots. Your agents get options ranging from clean Markdown to full pixel-perfect images.

The `scrape_js` tool enables JS rendering via a headless browser, ensuring that dynamic, client-side JavaScript loaded elements are captured correctly and don't get missed.

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