How to Use the Hyperbrowser (Web Infra for AI) MCP in CrewAI

Q: Can I filter which tools my agents see?

Yes. Use the toolfilter option in your CrewAI config to restrict agents to specific functions like pagecontent or extractdata.

Deploy a crew of autonomous agents to crawl the web. Use Hyperbrowser to power research and data gathering in CrewAI.

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Connect Hyperbrowser (Web Infra for AI) MCP to CrewAI

Create your Vinkius account to connect Hyperbrowser (Web Infra for 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 Hyperbrowser (Web Infra for AI) with CrewAI

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Claude

Perplexity

Specialized browser agents for CrewAI

Assign one agent to browse and another to analyze. Use `page_content` to feed raw data to your research specialist for synthesis. This role-based approach ensures cleaner data. The browser agent focuses on navigation, while the analyst agent focuses on the output.

Collaborative web research

Share session IDs across your crew. One agent can initialize a session with `create_session`, and another can perform the cleanup with `stop_session`. This keeps your operations organized. You avoid duplicate effort and ensure every agent has access to the same current browser state.

Autonomous scraping loops

Set up a crew to monitor a target URL for updates. Use `start_scrape` repeatedly to check for changes and alert the human-in-the-loop when triggers occur. The crew manages the cadence. You define the goals, and they handle the repetitive polling and data parsing tasks.

Setup guide

Set up Hyperbrowser (Web Infra for 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 Hyperbrowser (Web Infra for AI) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Hyperbrowser (Web Infra for 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 Hyperbrowser. 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 Hyperbrowser (Web Infra for AI) MCP in CrewAI

Simply pass the server URL into the agent's MCP configuration list. The agents will detect the tools and start using them for web tasks.

They can. By passing the session ID between agents, you allow them to act on the same browser instance sequentially.

It allows your agents to handle dynamic web content that simple HTTP requests cannot process. This increases the accuracy of your agents' research.

Yes. Use the tool_filter option in your CrewAI config to restrict agents to specific functions like `page_content` or `extract_data`.

Your web interaction logs and scraped content are isolated. We use encrypted memory buffers to ensure your agent's research stays confidential.

Use it with your favorite AI tools

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