How to Use the Joomag MCP in Vercel AI SDK

Q: Can I use this to manage Joomag contacts in my Next.js app?

Yes. Your agent can use the listcontacts tool to pull your audience list from Joomag's CRM. The Vercel AI SDK will stream the contact data right into your application's UI.

Q: What's the best way to show Joomag publication history with the Vercel AI SDK?

Use the listissues tool. It returns all versions of a specific publication. Because the SDK streams the response, you can populate a timeline or list component instantly as each issue's data arrives.

Q: Does this MCP server support all Joomag analytics?

This server exposes the listanalytics tool, which returns the analytics reports available in your Joomag account. You can use this to get a high-level view of content performance and engagement trends.

Stream Joomag publication data directly into your UI components with the Vercel AI SDK. No more loading spinners.

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Connect Joomag MCP to Vercel AI SDK

Create your Vinkius account to connect Joomag 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 Joomag with Vercel AI SDK

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Populate Your UI with Live Joomag Data

Connect your agent to this MCP Server and call Joomag tools directly from your frontend code. When you use the `list_publications` or `list_issues` tools, the data streams straight into your React or Svelte components as it arrives. The user sees titles and details appearing in real-time. This isn't just a faster backend call. It's a fundamentally different experience where the UI builds itself live from the tool's output, right in front of the user.

Build Real-Time Analytics Dashboards

Give your agent the `list_analytics` tool to build a live performance dashboard. The Vercel AI SDK streams the report data directly from the Joomag API into your charting library. As the data points arrive, your charts update. You can create a view that shows content performance, views, and engagement trends as they're fetched. It's a direct connection from your agent to the user's screen.

Drill Down into Publication Details

Let users explore their content library interactively. A click on a publication in your app can trigger a call to `get_publication` or `get_issue` for more specific information. The resulting metadata, branding settings, and access configurations stream right into a detail panel. This makes your app feel incredibly responsive, because the user never waits for a full API response to complete before seeing something happen.

Setup guide

Set up Joomag 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 Joomag 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 Joomag 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 Joomag. 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

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Common questions about Joomag MCP in Vercel AI SDK

First, install the AI SDK and the MCP client. Then, point the client to your Vinkius MCP Server endpoint for Joomag. You can then pass the tools to the `generateText` or `streamText` functions to start making calls.

Yes. Your agent can use the `list_contacts` tool to pull your audience list from Joomag's CRM. The Vercel AI SDK will stream the contact data right into your application's UI.

Use the `list_issues` tool. It returns all versions of a specific publication. Because the SDK streams the response, you can populate a timeline or list component instantly as each issue's data arrives.

This server exposes the `list_analytics` tool, which returns the analytics reports available in your Joomag account. You can use this to get a high-level view of content performance and engagement trends.

Your app requests data like publication titles, issue metadata, and analytics reports. This MCP Server processes each request in an ephemeral, zero-trust sandbox. The data is streamed directly to the user's browser via your Edge Function and is never stored on our servers.

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