How to Use the zrok (Open-Source Tunnel) MCP in Cursor

Q: How does zrok (Open-Source Tunnel) work with Cursor?

You add the server definition to .cursor/mcp.json and enable Agent mode in chat. The agent then uses your local or remote tunnels to gather live data, which it injects into the code you're modifying.

Q: Can I use zrok (Open-Source Tunnel) with Cursor for team projects?

Yes. By committing the configuration file (.cursor/mcp.json) to your repository, every developer using Cursor gets immediate access to the same exposed tunnels and services.

Q: If I use zrok (Open-Source Tunnel) with Cursor to create a share, what happens?

The agent calls createshare, which sets up a new tunnel for your local resource. You'll get the details and scope of that public or private share back in the chat.

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Connect zrok (Open-Source Tunnel) MCP to Cursor

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Setup zrok (Open-Source Tunnel) with Cursor

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Write Code Using Live Tunnel Context

The AI agent can call tools to expose a local service, then use that real data directly in the code you're writing. For example, it retrieves account status via `get_account` and injects those specific limits into your function. This means your generated code isn't using mock stubs; it uses live context from the MCP Server.

Set Up Tools Project-Wide

You configure the server in `.cursor/mcp.json` within the project root, making the tools available to every agent session on that repo. The AI client recognizes this setup immediately when you enable Agent mode. This centralized approach means everyone working on the codebase has consistent access to tunnels and shares.

Monitor Tunnels While Coding

When a service is running, use `list_shares` or `get_share` to confirm it's up. If you need to shut down a resource mid-session, calling `delete_share` cleans things up instantly. This keeps your development environment clean and lets the AI agent know when services are available to call.

Setup guide

Set up zrok (Open-Source Tunnel) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the zrok (Open-Source Tunnel) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent zrok (Open-Source Tunnel) transactions." If the MCP tools are loaded correctly, Cursor will call the zrok (Open-Source Tunnel) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "zrok-open-source-tunnel-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 Cursor

You add the server definition to `.cursor/mcp.json` and enable Agent mode in chat. The agent then uses your local or remote tunnels to gather live data, which it injects into the code you're modifying.

Yes. By committing the configuration file (`.cursor/mcp.json`) to your repository, every developer using Cursor gets immediate access to the same exposed tunnels and services.

The agent calls `create_share`, which sets up a new tunnel for your local resource. You'll get the details and scope of that public or private share back in the chat.

No, you just need to define the server in your project configuration file. The agent handles the rest; it's designed for developers who just want real data without leaving their editor.

This server interacts with API response payloads and configuration metadata. It allows the agent to read live status information from local services, using that context in generated code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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