How to Use the Kentico (CMS & DXP) MCP in Vercel AI SDK

Q: Can I use Kentico (CMS & DXP) with Vercel AI SDK for dynamic page updates?

Yes. By binding updatesitedocument to your agent, you can push content changes based on user interactions. It keeps your site state synced with your agent's decisions.

Stream real-time Kentico (CMS & DXP) data directly into your Vercel AI SDK interfaces without loading spinners.

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Connect Kentico (CMS & DXP) MCP to Vercel AI SDK

Create your Vinkius account to connect Kentico (CMS & DXP) 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 Kentico (CMS & DXP) with Vercel AI SDK

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Live content retrieval for Vercel AI SDK

Feed live site content directly into your generated UI components. Your agent uses `get_site_document` to pull specific nodes and render them instantly. This bypasses the typical wait times associated with traditional CMS calls. Your frontend stays responsive while the data streams from your Kentico instance.

Direct system object manipulation

Modify your Kentico architecture on the fly using `update_system_object` or `create_system_object`. You define the schema changes, and the tool executes them against your production environment. Everything happens within the request lifecycle of your edge functions. This allows for rapid environment adjustments based on real-time user input.

User and table auditing

Query your user base or custom tables using `list_users` and `list_custom_table_rows`. These tools expose the raw data needed for personalized dashboards. Your application logic processes this information to verify identity or display metrics. It turns static backend records into active UI elements.

Setup guide

Set up Kentico (CMS & DXP) 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 Kentico (CMS & DXP) 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 Kentico (CMS & DXP) transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kentico Xperience. 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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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 Kentico (CMS & DXP) MCP in Vercel AI SDK

You initialize the client via the @ai-sdk/mcp package. Point the transport to your Vinkius endpoint, and the tools become available for your streamText calls.

Yes. By binding `update_site_document` to your agent, you can push content changes based on user interactions. It keeps your site state synced with your agent's decisions.

Vinkius handles the auth layer. You provide a single token, ensuring every request to the server is authenticated before any data reaches your frontend.

No. Each operation is atomic. You must iterate through your document trees or user lists using individual tool calls.

The server only touches the specific system objects and document nodes you request. All communication happens over encrypted channels, and the server environment is ephemeral.

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