How to Use the Cloudflare Alternative MCP in Vercel AI SDK

Q: How do I connect the Cloudflare Alternative MCP Server to my Vercel AI SDK app?

Install @ai-sdk/mcp and initialize the client with your Vinkius HTTP endpoint. Pass the tools array from mcpClient.tools() directly to streamText to let your agent call DNS and KV tools.

Q: Can I restrict which tools the Cloudflare Alternative MCP Server exposes to Vercel AI SDK?

Yes, you filter the tools array before passing it to your generateText or streamText function. You choose to expose only read tools like listzones and block write actions.

Q: How does this server handle multiple domains?

The agent first runs listzones to find the correct zone ID for your domain. Once it locates the ID, it uses that specific identifier for any subsequent DNS or firewall operations.

Q: How does the Cloudflare Alternative MCP Server handle the privacy of my KV values?

Your KV keys and values retrieved via getkvvalue only pass through the secure V8 sandbox on Vinkius to your local Vercel AI SDK runtime. No data is stored or logged on our infrastructure, maintaining strict end-to-end privacy for your edge configuration.

Stream live Cloudflare DNS and KV updates straight to your React UI using the Vercel AI SDK.

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…and any MCP-compatible client

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Connect Cloudflare Alternative MCP to Vercel AI SDK

Create your Vinkius account to connect Cloudflare Alternative to Vercel AI 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 Cloudflare Alternative with Vercel AI SDK

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Claude

Perplexity

Real-time DNS updates in your frontend

This MCP Server connects your web application directly to your DNS configuration. When your user requests a new subdomain, your AI client calls `create_dns_record` or `update_dns_record` and streams the confirmation payload back to the browser. The Vercel AI SDK renders the raw JSON response as a live UI component. You do not need to build complex loading states or poll the server; the DNS record status displays the moment the API responds.

Instant KV namespace debugging

This MCP Server exposes your edge storage directly to your React components. Your agent executes `get_kv_value` and `put_kv_value` to read and write configuration keys without leaving the chat interface. The Vercel AI SDK streams these values into your custom UI blocks. You see the exact state of your feature flags or session data immediately, skipping manual terminal commands or dashboard navigation.

Direct access to zone analytics

This MCP Server pulls performance metrics directly from the edge network. Your agent triggers `get_zone_analytics` to inspect traffic spikes, threat data, and cached request counts. Using the streaming capabilities of the Vercel AI SDK, you can visualize these metrics on your frontend. The agent processes the raw data and renders a clean summary of your CDN status on the fly.

Setup guide

Set up Cloudflare Alternative MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Cloudflare Alternative tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Cloudflare Alternative transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloudflare. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cloudflare Alternative MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and initialize the client with your Vinkius HTTP endpoint. Pass the tools array from `mcpClient.tools()` directly to `streamText` to let your agent call DNS and KV tools.

Yes, you filter the tools array before passing it to your `generateText` or `streamText` function. You choose to expose only read tools like `list_zones` and block write actions.

Yes, the server runs on Vinkius and exposes a standard HTTP endpoint that works with Vercel's edge runtime. Your Next.js edge route calls `create_dns_record` without execution timeout issues.

The agent first runs `list_zones` to find the correct zone ID for your domain. Once it locates the ID, it uses that specific identifier for any subsequent DNS or firewall operations.

Your KV keys and values retrieved via `get_kv_value` only pass through the secure V8 sandbox on Vinkius to your local Vercel AI SDK runtime. No data is stored or logged on our infrastructure, maintaining strict end-to-end privacy for your edge configuration.

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