How to Use the Browserless (Playwright Cloud) MCP in CrewAI

Q: How do I add Browserless (Playwright Cloud) to my CrewAI configuration?

You simply pass the Vinkius URL into the agent's mcps list. CrewAI handles the transport and makes the browser tools available to your agents immediately.

Q: Can I filter tools for specific agents in CrewAI?

You can use the toolfilter feature to restrict which agent gets access to specific browser tools. This ensures your researcher agent only sees what it needs to function.

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Connect Browserless (Playwright Cloud) MCP to CrewAI

Create your Vinkius account to connect Browserless (Playwright Cloud) 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 Browserless (Playwright Cloud) with CrewAI

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Perplexity

Coordinate browser tasks across your CrewAI crew

Assign the `scrape_with_stealth` tool to your researcher agent while the analyst agent waits for the data. Because this MCP Server maintains state, your crew works in perfect lockstep. The agents share the context of the browser session. One agent performs the navigation, and the next extracts the relevant insights.

Print and archive pages in CrewAI

Your agents can use `get_pdf` to convert live web content into portable documents for permanent storage. This is ideal for compliance or audit-heavy operations. Once the agent finishes the task, it sends the file to your local storage or memory. Your crew handles the entire pipeline without human intervention.

Send custom payloads via CrewAI agents

The `send_custom_payload` tool allows your agents to interact with any Browserless REST endpoint directly. You can pass custom JSON payloads to fine-tune the browser's behavior for specific sites. It gives your agents granular control over their tools. They adjust their requests on the fly based on the specific page requirements they encounter.

Setup guide

Set up Browserless (Playwright Cloud) 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 Browserless (Playwright Cloud) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Browserless (Playwright Cloud) 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 Playwright Cloud. 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 Browserless (Playwright Cloud) MCP in CrewAI

You simply pass the Vinkius URL into the agent's `mcps` list. CrewAI handles the transport and makes the browser tools available to your agents immediately.

Yes, you can use shared memory to pass the browser state between agents. This allows your crew to collaborate on a single browsing session effectively.

It is built for headless execution. Your agents run in the background, performing complex scraping tasks without needing a visible interface.

Each crew session operates within an ephemeral V8 sandbox. We isolate your browsing requests from other users to ensure your data stays private and secure.

You can use the tool_filter feature to restrict which agent gets access to specific browser tools. This ensures your researcher agent only sees what it needs to function.

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