How to Use the BrowserStack MCP in CrewAI

Q: Can BrowserStack and CrewAI collaborate on test suites?

Yes, your CrewAI agents call tools like listbrowsers to determine compatible environments for new test runs. They make decisions based on the current system capabilities.

Deploy a CrewAI team to autonomously manage, monitor, and clean up your BrowserStack test suites.

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Connect BrowserStack MCP to CrewAI

Create your Vinkius account to connect BrowserStack 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 BrowserStack with CrewAI

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CrewAI agents for BrowserStack management

Assign a dedicated agent to `list_projects` and track build health. Your crew organizes your automation runs by grouping builds and monitoring their status in real-time. This offloads the tedious monitoring work. You just set the goal, and the crew manages the BrowserStack infrastructure for you.

BrowserStack session analysis with CrewAI

A researcher agent uses `get_session_logs` to dig into failures. It collaborates with an analyst agent to summarize the root cause of the test breakdown. Your crew delivers a report instead of raw data. It saves you from sifting through thousands of lines of logs manually.

Infrastructure cleanup via CrewAI

Set up a cleanup agent to sweep your account using `delete_session`. It runs based on your defined criteria, such as removing sessions older than 24 hours. Your BrowserStack environment stays lean and organized. The agent ensures you never exceed your storage or limits needlessly.

Setup guide

Set up BrowserStack 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 BrowserStack tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL to your agent's MCP configuration. Once connected, your CrewAI agents gain access to the BrowserStack toolset.

Yes, your CrewAI agents call tools like `list_browsers` to determine compatible environments for new test runs. They make decisions based on the current system capabilities.

The agents share memory to coordinate their actions. They only access the specific test results and logs you authorize via the MCP server.

It restricts access to the tools you explicitly allow. The server operates in a secure, isolated sandbox that prevents unauthorized account changes.

Your test results, logs, and build names are never sent to external training sets. The server processes this information only within your local CrewAI runtime.

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