How to Use the Cloudflare Tunnel MCP in Mastra AI

Q: Are Cloudflare Tunnel tool calls in Mastra AI secure?

They are. You can use the built-in requireToolApproval to verify every infrastructure change before the agent executes it.

Q: How do I manage multiple tunnels in Mastra AI?

You filter your account list using listtunnels. This returns an array of active tunnels that your agent can iterate through.

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Setup Cloudflare Tunnel with Mastra AI

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Perplexity

Resilient network routing for Mastra AI

Define complex branching logic using `create_route` as a step in your Mastra agent workflow. If a route fails, your agent automatically retries the operation. Checking connectivity status is handled by `list_routes`. You get high-level oversight of your network topology within your existing agent code.

Mastra AI agent-led connector oversight

Use `list_connections` to monitor live traffic ingress for your tunnels. If an anomaly appears, your agent can trigger a `cleanup_connections` sequence immediately. Details for any specific connector are pulled via `get_connector`. This gives your agents the context needed to make informed routing decisions.

Credential management in Mastra AI

Fetch temporary access using `get_management_token` before performing sensitive operations. This keeps your long-term secrets out of your agent's memory. Every action is scoped to the token you provide. You maintain full control over what your Mastra agents can touch.

Setup guide

Set up Cloudflare Tunnel MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Cloudflare Tunnel tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "cloudflare-tunnel-mcp-client",
  servers: {
    "cloudflare-tunnel-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Cloudflare Tunnel Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Cloudflare Tunnel tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Cloudflare Tunnel transactions"
);
console.log(result.text);

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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 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 Mastra AI

You pass the tool set into your agent definition. The Mastra framework then executes `create_tunnel` or `update_tunnel` according to your workflow logic.

Yes, you can define exponential backoff for any tool call. If a network request hangs, the agent handles the recovery automatically.

They are. You can use the built-in `requireToolApproval` to verify every infrastructure change before the agent executes it.

You filter your account list using `list_tunnels`. This returns an array of active tunnels that your agent can iterate through.

All configuration data is encrypted at rest by Vinkius. The MCP Server only exposes the specific tunnel settings you authorize.

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