How to Use the Zuplo MCP in Vercel AI SDK

Q: How does Zuplo help with deployments using Vercel AI SDK?

The listdeployments tool provides the status of all your active API gateways. Since you're streaming data to the UI, users see deployment changes happen live, making debugging easier.

Q: Can I list Zuplo projects with Vercel AI SDK?

Yeah, absolutely. You use listprojects to pull a full manifest of all your Zuplo accounts. It's the first step before checking specific environments or consumers.

Q: Does Zuplo let me see all environments with Vercel AI SDK?

Yup. After listing a project, you call listenvironments. This tells you if you've got staging, testing, and production APIs ready to go.

Q: If I need metrics for Zuplo using Vercel AI SDK, what tool do I use?

The getmetrics tool is what you want. You pass a deployment ID to it, and your agent streams the performance data right into the client's UI.

Get real-time API gateway data streamed directly into your UI using Vercel AI SDK.

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Connect Zuplo MCP to Vercel AI SDK

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Setup Zuplo with Vercel AI SDK

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Stream Project Deployments

Use `list_deployments` to check all current project deployments. This tells you exactly which versions of your API gateway are running live. You can then call `get_metrics` on those deployments. Your client streams the edge metrics, so the user sees data populating in real-time instead of waiting for a spinner.

Manage API Consumers

Need to check who's using your APIs? The `list_consumers` tool shows all active API key consumers. From there, you can use `create_consumer` right in the UI if a new client signs up. When an old consumer account is done, call `delete_consumer`. This removes the associated keys and cleans up the billing records instantly.

List Zuplo Projects

Start by using `list_projects` to see every Zuplo project you manage. This gives your agent a clear map of everything available. Once you know the project, you can use `list_environments` to confirm which environments (like 'production' or 'staging') are set up for that specific API gateway.

Setup guide

Set up Zuplo 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 Zuplo 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 Zuplo 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 Zuplo. 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 Zuplo MCP in Vercel AI SDK

The `list_deployments` tool provides the status of all your active API gateways. Since you're streaming data to the UI, users see deployment changes happen live, making debugging easier.

Yeah, absolutely. You use `list_projects` to pull a full manifest of all your Zuplo accounts. It's the first step before checking specific environments or consumers.

This MCP Server handles API key consumer information, so it touches sensitive user credentials like API keys. Always make sure your agent validates the permissions before calling `list_consumers`.

Yup. After listing a project, you call `list_environments`. This tells you if you've got staging, testing, and production APIs ready to go.

The `get_metrics` tool is what you want. You pass a deployment ID to it, and your agent streams the performance data right into the client's UI.

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