How to Use the Cloudflare Tunnel MCP in OpenAI Agents SDK

Q: How do I install the Cloudflare Tunnel MCP Server inside my OpenAI Agents SDK project?

Run pip install openai-agents first. Then, initialize the connection using MCPServerStreamableHttp with your Vinkius endpoint URL and pass it to your Agent constructor inside the mcpservers list.

Q: How do I update an existing tunnel's setup?

The agent can fetch the current state using getconfiguration, modify the routing parameters, and apply the changes using putconfiguration or updatetunnel.

Secure your production OpenAI Agents SDK workflows by letting your agents spin up and tear down Cloudflare Tunnels on demand.

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Connect Cloudflare Tunnel MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cloudflare Tunnel to OpenAI Agents SDK 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 OpenAI Agents SDK

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Let OpenAI Agents SDK build secure routes on the fly

Your production agents need a way to reach private databases without opening public ports. This MCP Server exposes tools like `create_tunnel` and `create_route` directly to your OpenAI Agents SDK runtime, allowing your system to establish encrypted paths to isolated infrastructure during execution. Your agent checks active paths via `list_routes` and updates them with `update_route` if network demands shift. Because the MCP Server runs in the Vinkius sandbox, your API keys stay isolated while your agent safely maps out the required network topology.

Automated configuration and token management

When building multi-agent systems, you need tight control over credentials. The agent can use `get_tunnel_token` and `get_management_token` to configure local connectors without human intervention. Once the credentials are in hand, the agent pushes new routing rules using `put_configuration` and `get_configuration`. This lets your OpenAI pipeline bootstrap its own secure tunnels, run its tasks, and keep configuration states synchronized.

Safe teardown and connection cleanup

Leaving idle tunnels open is a major security risk in production. Your agent can monitor active links with `list_connections` and immediately close stale pathways using `cleanup_connections` when a task finishes. If a temporary tunnel is no longer needed, the agent calls `delete_tunnel` and `delete_route` to wipe the slate clean. This ensures your private network footprint shrinks back to zero the moment your OpenAI pipeline completes its run.

Setup guide

Set up Cloudflare Tunnel MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Cloudflare Tunnel tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Cloudflare Tunnel tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Cloudflare Tunnel tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Cloudflare Tunnel Agent",
            instructions="You have access to Cloudflare Tunnel tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 OpenAI Agents SDK

Run `pip install openai-agents` first. Then, initialize the connection using `MCPServerStreamableHttp` with your Vinkius endpoint URL and pass it to your Agent constructor inside the `mcp_servers` list.

Yes, your agent can troubleshoot its own connections. If a connection drops, the agent can call `get_connector` to inspect the health of the tunnel and re-run `create_route` if the path is missing.

Absolutely. You can have a specialized network agent handle `create_tunnel` and `get_tunnel_token`, then hand off the connection details to a database agent that queries the newly exposed endpoint.

The agent can fetch the current state using `get_configuration`, modify the routing parameters, and apply the changes using `put_configuration` or `update_tunnel`.

Vinkius processes your Cloudflare credentials and tunnel configurations in an ephemeral, zero-trust V8 sandbox. No sensitive tunnel tokens or routing data are ever persisted or written to disk.

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