How to Use the zrok (Open-Source Tunnel) MCP in OpenAI Agents SDK

Q: How does zrok (Open-Source Tunnel) integrate with the OpenAI Agents SDK?

The agents auto-discover the MCP tools, treating zrok as a standard service. You don't need to write wrapper code; your agent simply calls functions like createshare, and the guardrails validate the action before it hits the tunnel.

Q: What if I need to delete an old share using zrok (Open-Source Tunnel) with the OpenAI Agents SDK?

The agent uses the deleteshare tool. It ensures that the deletion request is validated against your deployment constraints before executing, making sure you don't accidentally take down a critical tunnel.

Q: Does zrok (Open-Source Tunnel) support multiple environments when using the OpenAI Agents SDK?

Yep. You can use listenvironments to see all active setups, and then activate or deactivate them with functions like enableenvironment. This lets you test a service across different isolated stages.

Manage Network Tunnels Securely with the OpenAI Agents SDK

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Connect zrok (Open-Source Tunnel) MCP to OpenAI Agents SDK

Create your Vinkius account to connect zrok (Open-Source 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 zrok (Open-Source Tunnel) with OpenAI Agents SDK

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Secure Local Resource Exposure

The agent uses `zrok` to manage tunnels, letting you expose local services securely. It handles both public and private shares using functions like `create_share` or `get_share`. This is essential for testing endpoints that your production system needs to hit.

Environment Lifecycle Control

You'll keep track of all active deployment stages by listing environments with `list_environments`. If a service moves, the agent can safely shut it down using `disable_environment` or spin up a new one via `enable_environment`. This keeps your testing scope clean.

Account and Share Management

The SDK manages connectivity by first authenticating with `login_account`, giving you an endpoint token. You can list all active tunnels using `list_shares` or check specific tunnel details with `get_share`. This keeps your MCP Server interaction fully traceable.

Setup guide

Set up zrok (Open-Source 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 zrok (Open-Source Tunnel) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives zrok (Open-Source 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 zrok (Open-Source 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="zrok (Open-Source Tunnel) Agent",
            instructions="You have access to zrok (Open-Source Tunnel) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by zrok. 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 zrok (Open-Source Tunnel) MCP in OpenAI Agents SDK

The agents auto-discover the MCP tools, treating `zrok` as a standard service. You don't need to write wrapper code; your agent simply calls functions like `create_share`, and the guardrails validate the action before it hits the tunnel.

The agent uses the `delete_share` tool. It ensures that the deletion request is validated against your deployment constraints before executing, making sure you don't accidentally take down a critical tunnel.

Yep. You can use `list_environments` to see all active setups, and then activate or deactivate them with functions like `enable_environment`. This lets you test a service across different isolated stages.

This server primarily handles network configuration and account metadata. It manages details like active shares, environment names, and your overall usage limits.

Not at all. The setup is designed for production use; the agent auto-discovers everything. You just ask it to `create_share` or check an account limit, and it handles the rest.

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