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Vinkius

Sitecore MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Sitecore through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Sitecore, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Sitecore MCP Server

Connect your Sitecore instance to any AI agent and take full control of your enterprise CMS through natural conversation. Execute headless content operations without navigating the complex Sitecore Content Editor.

The Vercel AI SDK gives every Sitecore tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Item Management — Retrieve, create, update, and delete Sitecore items using their path or unique ID
  • Content Search — Search deeply across your content tree using keywords, templates, and dates
  • Site navigation — List item children to traverse the content tree hierarchy natively
  • Templates & Layouts — List available templates and retrieve presentation/layout details (renderings and placeholders) for specific pages
  • Workflows — Check the current workflow state of any item (e.g., Draft, Review, Published)

The Sitecore MCP Server exposes 9 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Sitecore to Vercel AI SDK via MCP

Follow these steps to integrate the Sitecore MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 9 tools from Sitecore and passes them to the LLM

Why Use Vercel AI SDK with the Sitecore MCP Server

Vercel AI SDK provides unique advantages when paired with Sitecore through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Sitecore integration everywhere

03

Built-in streaming UI primitives let you display Sitecore tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Sitecore + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Sitecore MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Sitecore in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Sitecore tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Sitecore capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Sitecore through natural language queries

Sitecore MCP Tools for Vercel AI SDK (9)

These 9 tools become available when you connect Sitecore to Vercel AI SDK via MCP:

01

create_content_item

Requires parent ID, item name, and template ID. Creates a new item in the Sitecore content tree

02

delete_content_item

This action is irreversible. Permanently deletes a Sitecore item

03

get_item_details

Retrieves details for a specific Sitecore item

04

get_item_layout

Retrieves the layout or presentation details for an item

05

get_workflow_state

Retrieves the current workflow state of an item

06

list_content_templates

g., "Page", "Article") are available for creating new items. Lists available content templates

07

list_item_children

Lists the immediate children of a specific item

08

search_content

Useful for broad discovery across the CMS. Searches for content items in Sitecore

09

update_content_item

Provide a JSON string of field name/value pairs. Updates the fields of an existing Sitecore item

Example Prompts for Sitecore in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Sitecore immediately.

01

"Can you check the workflow state for the `/sitecore/content/Home/AboutUs` item?"

02

"List the immediate children under `/sitecore/content/Home/Products`."

03

"Create a new item named 'SpringCampaign' using template `5F22...` under parent ID `3D66...`."

Troubleshooting Sitecore MCP Server with Vercel AI SDK

Common issues when connecting Sitecore to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Sitecore + Vercel AI SDK FAQ

Common questions about integrating Sitecore MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Sitecore to Vercel AI SDK

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.