How to Use the Cloudflare Tunnel MCP in CrewAI

Q: How do I restrict tool access for Cloudflare Tunnel in CrewAI?

You use the toolfilter in your agent setup. This ensures only the authorized agents can call sensitive tools like deletetunnel.

Deploy a specialized crew to manage your network with this Cloudflare Tunnel MCP Server for CrewAI.

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Connect Cloudflare Tunnel MCP to CrewAI

Create your Vinkius account to connect Cloudflare Tunnel 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 Cloudflare Tunnel with CrewAI

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Perplexity

Autonomous tunnel management in CrewAI

Assign a dedicated monitor agent to run `get_tunnel` and check health status. If something drops, a response agent triggers `update_tunnel` to restore service. This creates a self-healing infrastructure loop. Your agents collaborate using shared memory to keep your tunnels running.

Role-based network control for CrewAI

Limit your researcher agent to `list_tunnels` and `get_route_by_ip`. Meanwhile, your admin agent holds the rights to `create_route` or `delete_route`. This hierarchy prevents accidental changes. You define the permissions, and the agents execute their specific roles.

Infrastructure visibility for CrewAI

Use `get_tunnel_token` to give your agents temporary access to sensitive operations. This minimizes the blast radius of any automated task. All actions appear in your agent logs. You see exactly which agent initiated a tunnel change and why.

Setup guide

Set up Cloudflare Tunnel 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 Cloudflare Tunnel tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Absolutely. You assign the MCP Server to the agents that need network access and restrict the others.

You use the `tool_filter` in your agent setup. This ensures only the authorized agents can call sensitive tools like `delete_tunnel`.

It does. You provide the URL, and the framework manages the transport between your agents and the Vinkius hosting environment.

The server stores the state, not the agents. Your CrewAI agents retrieve the current config using `get_configuration` whenever they need it.

Access is restricted by the single endpoint token you provide. Vinkius ensures that only authorized agent requests reach the Cloudflare API.

Use it with your favorite AI tools

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