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How to Use the Apache APISIX MCP in Vercel AI SDK

Stream real-time Apache APISIX gateway data directly into your Vercel AI SDK frontends for instant UI updates.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Apache APISIX MCP to Vercel AI SDK

Create your Vinkius account to connect Apache APISIX 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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Manage routing live in Vercel AI SDK

Stop digging through dashboards to fix a broken path. You can now use `put_route` or `delete_route` inside your React components to push changes to your gateway instantly. Your users see the results as the AI streams the response. It removes the need for clunky loading states when you update an `upstream` or swap a plugin.

Monitor gateway health with TypeScript

Check exactly how your nodes are performing by calling `get_control_healthcheck` directly from your edge functions. You get the raw status of every node without leaving your codebase. This MCP Server provides the data you need to build custom status pages. Use `dump_control_upstreams` to verify your load balancing logic in real-time.

Automate consumer management

Handle your API keys and group permissions programmatically. Your agent can call `put_consumer` or `list_consumers` based on user sign-ups or subscription changes. It keeps your security logic in sync with your application state. No more manual entry errors when you need to provision a new client group.

Setup guide

Set up Apache APISIX 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Apache APISIX transactions",
});

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

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

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 Apache APISIX MCP in Vercel AI SDK

You hook the server into your project using the transport configuration. Once connected, your agent executes commands like `get_route` or `put_upstream` to keep your gateway config aligned with your app.
Yes, you catch errors directly in your stream handlers. If a call like `delete_ssl` fails, your agent sees the response and you can trigger a fallback or alert immediately.
The connection uses encrypted transport tokens provided by Vinkius. Your gateway configuration, including consumer lists and SSL certs, stays within your private memory space during the session.
You can trigger `reload_control_plugins` at any time. It forces the gateway to pick up changes without needing a full restart of your infrastructure.
Your changes persist on the gateway server itself. The session only acts as the interface for sending commands like `put_plugin_config` to the API.

Start using the Apache APISIX MCP today

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