How to Use the Browserless MCP in CrewAI

Deploy specialized web-crawling crews in CrewAI to manage complex research and data extraction tasks.

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Connect Browserless MCP to CrewAI

Create your Vinkius account to connect Browserless 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 with CrewAI

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Coordinate web-crawling crews in CrewAI

Assign a dedicated agent to use `list_active_sessions` to track current browser jobs. This allows your CrewAI team to monitor progress in real-time. Your moderator agent checks these sessions to ensure no tasks are hanging. It provides the oversight needed for autonomous operation.

Extract web content for CrewAI agents

Use `get_page_content` within your research agent's toolset to pull data directly from target URLs. The agent processes the raw text for your analysis. This keeps your CrewAI agents focused on strategy rather than browser management. It turns the web into a structured data source for your crew.

Handle Browserless config in CrewAI

Use `get_account_config` to ensure your agents are using the correct settings for your environment. It prevents configuration drift across different crews. Your agents can verify their own environment before starting a job. It makes your setup self-healing and predictable.

Setup guide

Set up Browserless 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 tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Vinkius URL directly into the agent's MCP configuration list. Your agents will immediately gain access to the full suite of browser tools.

Yes. CrewAI supports concurrent execution, allowing different agents to perform distinct scraping tasks simultaneously. Each task runs in its own isolated browser session.

We use ephemeral sessions for every agent request, ensuring no cross-contamination of data. Your CrewAI jobs operate in a sandbox that clears once the task finishes.

Our infrastructure handles the browser rendering, leaving your local machine free to run the CrewAI agents. You get faster execution and lower local resource usage.

Your agents only see the output of the tools you explicitly authorize. We protect your account credentials and internal system logs from being exposed to your crew.

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