How to Use the Browserbear MCP in CrewAI
Deploy specialized Browserbear agents in CrewAI for autonomous web research and data collection.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Browserbear MCP to CrewAI
Create your Vinkius account to connect Browserbear 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.
Coordinate browser tasks with CrewAI crews
Assign `run_task` to specific agents within your crew to divide the workload. One agent researches while another manages the execution. This keeps your operations structured and scalable. Your agents collaborate to finish the job faster.
Extract web data using Browserbear
Use `list_tasks` to identify current automation needs and assign them to your agents. They fetch data and pass it to the next agent in the crew. It removes the need for you to manually manage the pipeline. Your crew handles the sequence from start to finish.
Verify browser state in CrewAI
The `take_screenshot` tool provides visual proof for your agents. They check the image to confirm the page loaded correctly. If the screenshot shows a login wall, the agent adjusts its strategy. It allows for autonomous error correction.
Set up Browserbear MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Browserbear tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Browserbear Analyst",
goal="Access and analyze Browserbear data via MCP.",
backstory="Expert analyst with direct Browserbear access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Browserbear transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="Browserbear Analyst",
goal="Access and analyze Browserbear data via MCP.",
backstory="Expert analyst with direct Browserbear access.",
tools=mcp_tools,
)
task = Task(
description="List recent Browserbear transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browserbear. 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.
Why Choose Vinkius
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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60%
lower AI costs
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Common questions about Browserbear MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Browserbear MCP today
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