Cloudflare Tunnel MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 17 tools to Cleanup Connections, Create Route, Create Tunnel, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cloudflare Tunnel through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Cloudflare Tunnel MCP Server for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 17 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Cloudflare Tunnel, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Cloudflare Tunnel MCP Server
Connect your Cloudflare account to any AI agent to take full control of your Zero Trust connectivity and private network routing through natural conversation.
The Vercel AI SDK gives every Cloudflare Tunnel tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 17 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Tunnel Management — List all tunnels in your account, filter by status (healthy, degraded, down), and fetch detailed metadata for specific tunnels.
- Remote Configuration — Retrieve and update ingress rules and origin settings for remotely-managed tunnels without touching the CLI.
- Network Routing — Manage private network routes (CIDR) and IP-based routing to connect your internal resources securely.
- Connection Monitoring — Inspect active connectors, list tunnel connections, and clean up stale sessions to ensure high availability.
- Lifecycle Actions — Create new tunnels, update secrets, or delete decommissioned tunnels directly from your workspace.
The Cloudflare Tunnel MCP Server exposes 17 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 17 Cloudflare Tunnel tools available for Vercel AI SDK
When Vercel AI SDK connects to Cloudflare Tunnel through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloudflare-tunnel, zero-trust, cloudflared, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Cleanup connections on Cloudflare Tunnel
If no client_id is provided, all connectors are removed. Clean up Cloudflare Tunnel connections
Create route on Cloudflare Tunnel
Create a tunnel route
Create tunnel on Cloudflare Tunnel
Create a new Cloudflare Tunnel
Delete route on Cloudflare Tunnel
Delete a tunnel route
Delete tunnel on Cloudflare Tunnel
Delete a Cloudflare Tunnel
Get configuration on Cloudflare Tunnel
Get configuration for a remotely-managed tunnel
Get connector on Cloudflare Tunnel
Get Cloudflare Tunnel connector details
Get management token on Cloudflare Tunnel
Get a Cloudflare Tunnel management token
Get route by ip on Cloudflare Tunnel
Get tunnel route by IP
Get tunnel on Cloudflare Tunnel
Get details for a single Cloudflare Tunnel
Get tunnel token on Cloudflare Tunnel
Get a Cloudflare Tunnel token
List connections on Cloudflare Tunnel
List Cloudflare Tunnel connections
List routes on Cloudflare Tunnel
List tunnel routes
List tunnels on Cloudflare Tunnel
List and filter Cloudflare Tunnels in an account
Put configuration on Cloudflare Tunnel
Add or update configuration for a remotely-managed tunnel
Update route on Cloudflare Tunnel
Update a tunnel route
Update tunnel on Cloudflare Tunnel
Update an existing Cloudflare Tunnel
Connect Cloudflare Tunnel to Vercel AI SDK via MCP
Follow these steps to wire Cloudflare Tunnel into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Cloudflare Tunnel MCP Server
Vercel AI SDK provides unique advantages when paired with Cloudflare Tunnel through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cloudflare Tunnel integration everywhere
Built-in streaming UI primitives let you display Cloudflare Tunnel tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cloudflare Tunnel + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cloudflare Tunnel MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cloudflare Tunnel in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cloudflare Tunnel tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cloudflare Tunnel capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cloudflare Tunnel through natural language queries
Example Prompts for Cloudflare Tunnel in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cloudflare Tunnel immediately.
"List all active tunnels in my Cloudflare account [ACCOUNT_ID]."
"Show me the ingress rules for tunnel [TUNNEL_ID]."
"Create a new Cloudflare tunnel named 'office-gateway' in account [ACCOUNT_ID]."
Troubleshooting Cloudflare Tunnel MCP Server with Vercel AI SDK
Common issues when connecting Cloudflare Tunnel to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCloudflare Tunnel + Vercel AI SDK FAQ
Common questions about integrating Cloudflare Tunnel MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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