How to Use the Browse AI MCP in CrewAI

Q: How do I connect the Browse AI MCP Server to my CrewAI agents?

You can pass your secure Vinkius URL directly to the mcps list when defining your agents. For more control, use MCPServerHTTP to filter which scraping tools are exposed to specific crew members.

Q: How do multiple CrewAI agents share Browse AI data?

Once one agent fetches the scraped JSON using gettaskdata, the crew's shared memory makes that data accessible to all other agents. This allows for immediate collaborative analysis.

Q: Can my crew check credit usage?

Yes, a manager agent can call listcredits to check your Browse AI credit balance. This helps the crew decide whether to proceed with large-scale bulk scraping runs.

Deploy specialized agent teams to scrape and analyze the web using Browse AI and CrewAI.

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Connect Browse AI MCP to CrewAI

Create your Vinkius account to connect Browse AI 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 Browse AI with CrewAI

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Coordinate Scraping Tasks Across Your Crew

Use this MCP Server to divide and conquer complex web research by assigning specialized roles to your agents. Your Researcher agent can initiate scraping jobs with `run_robot` while an Analyst agent waits to process the results. The Analyst agent uses `get_task_data` to extract the structured JSON once the scraper finishes. Because CrewAI agents share memory, the data is instantly available to your Writer agent to compile reports.

Scale Extractions with CrewAI and Browse AI

Let your crew manage large-scale data collection campaigns without human oversight. A Coordinator agent can trigger a bulk scraping run across dozens of target sites using `run_bulk_task` using this MCP Server. A separate Auditor agent monitors the progress using `get_bulk_task` and downloads the final datasets via `download_bulk_data`. The crew handles errors autonomously, ensuring your pipeline never stalls.

Deploy a Watchdog Agent Team

Set up a dedicated monitoring loop where a Watchdog agent tracks target websites for changes. The agent calls `list_monitors` to check which schedulers are active and running. When a site change is detected, the Watchdog agent alerts a Responder agent to pull the updated content. It uses `get_task` to verify the run and processes the new data immediately.

Setup guide

Set up Browse AI 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 Browse AI tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can pass your secure Vinkius URL directly to the `mcps` list when defining your agents. For more control, use `MCPServerHTTP` to filter which scraping tools are exposed to specific crew members.

Yes, an agent can check the status of any active scraping job by calling `get_task`. This allows the crew to pause sequential tasks until the required web data is fully extracted.

Once one agent fetches the scraped JSON using `get_task_data`, the crew's shared memory makes that data accessible to all other agents. This allows for immediate collaborative analysis.

Yes, a manager agent can call `list_credits` to check your Browse AI credit balance. This helps the crew decide whether to proceed with large-scale bulk scraping runs.

All extracted site data retrieved by your crew passes through the Vinkius MCP Server. The scraped JSON is sent directly to your local CrewAI environment and is never stored or logged on our infrastructure.

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