Bring Cloudflare Tunnel
to Vercel AI SDK
Learn how to connect Cloudflare Tunnel to Vercel AI SDK and start using 17 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Cloudflare API Token (with Cloudflare Tunnel permissions)
- Start managing your secure tunnels from Claude, Cursor, or any MCP-compatible client
Who is this for?
- DevOps Engineers — quickly check tunnel health and update ingress rules during deployments without leaving the terminal or IDE.
- Security Teams — audit active tunnels and network routes to ensure compliance with Zero Trust policies.
- System Administrators — automate the cleanup of stale connections and monitor the status of remote connectors across multiple accounts.
Built-in capabilities (17)
If no client_id is provided, all connectors are removed. Clean up Cloudflare Tunnel connections
Create a tunnel route
Create a new Cloudflare Tunnel
Delete a tunnel route
Delete a Cloudflare Tunnel
Get configuration for a remotely-managed tunnel
Get Cloudflare Tunnel connector details
Get a Cloudflare Tunnel management token
Get tunnel route by IP
Get details for a single Cloudflare Tunnel
Get a Cloudflare Tunnel token
List Cloudflare Tunnel connections
List tunnel routes
List and filter Cloudflare Tunnels in an account
Add or update configuration for a remotely-managed tunnel
Update a tunnel route
Update an existing Cloudflare Tunnel
Why Vercel AI SDK?
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.
- —
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
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Built-in streaming UI primitives let you display Cloudflare Tunnel tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cloudflare Tunnel in Vercel AI SDK
Cloudflare Tunnel and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Cloudflare Tunnel to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Cloudflare Tunnel in Vercel AI SDK
The Cloudflare Tunnel 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. All 17 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Cloudflare Tunnel for Vercel AI SDK
Every tool call from Vercel AI SDK to the Cloudflare Tunnel MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I update the ingress rules for a remotely managed tunnel?
Yes. Use the put_configuration tool to update the ingress rules and origin request settings for any tunnel that is configured for remote management.
How do I check if my tunnels are currently online?
You can use list_tunnels with the status parameter set to 'healthy' to see active tunnels, or use get_tunnel with a specific ID to see its current operational state.
Can I manage private network routes through this integration?
Yes. The server includes tools like list_routes, create_route, and delete_route to manage your Cloudflare Tunnel network routing (WARP-to-Tunnel).
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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