Kentico (CMS & DXP) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kentico (CMS & DXP) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Kentico (CMS & DXP), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Kentico (CMS & DXP) MCP Server
Connect your Kentico Xperience project to any AI agent and take full control of your digital experience platform (DXP) and enterprise CMS through natural conversation.
The Vercel AI SDK gives every Kentico (CMS & DXP) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Document Orchestration — Retrieve and update site pages and documents based on alias paths, cultures, and site names directly from your agent
- System Object Management — Create, list, and mutate general system objects (roles, templates, settings) using structured REST mappings
- User CRM & Audit — List global platform users and retrieve detailed account profiles, including roles and metadata securely
- Custom Table Analytics — Extract tabular data from Kentico custom tables to monitor internal registries and business-specific data models
- Schema Visibility — Discover and inspect Kentico object types and scalar properties to understand your project's underlying data structure
- Content Lifecycle — Perform deep property mutations on existing documents or irreversibly delete unused system objects to maintain an optimized repository
The Kentico (CMS & DXP) MCP Server exposes 10 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 Kentico (CMS & DXP) to Vercel AI SDK via MCP
Follow these steps to integrate the Kentico (CMS & DXP) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Kentico (CMS & DXP) and passes them to the LLM
Why Use Vercel AI SDK with the Kentico (CMS & DXP) MCP Server
Vercel AI SDK provides unique advantages when paired with Kentico (CMS & DXP) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Kentico (CMS & DXP) integration everywhere
Built-in streaming UI primitives let you display Kentico (CMS & DXP) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Kentico (CMS & DXP) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kentico (CMS & DXP) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kentico (CMS & DXP) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kentico (CMS & DXP) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kentico (CMS & DXP) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kentico (CMS & DXP) through natural language queries
Kentico (CMS & DXP) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Kentico (CMS & DXP) to Vercel AI SDK via MCP:
create_system_object
Create a new Kentico system object
delete_system_object
Delete a Kentico system object
get_single_object
Get a specific Kentico system object by ID
get_site_document
Get a document from the Kentico Xperience CMS
get_user
Get details for a specific Kentico user
list_custom_table_rows
List rows from a Kentico custom table
list_system_objects
g., roles provisions, page templates) from Kentico REST. List Kentico system objects by type
list_users
user in Kentico. List global Kentico users
update_site_document
Update an existing document in the Kentico CMS
update_system_object
Update an existing Kentico system object
Example Prompts for Kentico (CMS & DXP) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kentico (CMS & DXP) immediately.
"Get the 'Home' page document from site 'CorporateSite' in 'en-us' culture"
"Update the DocumentName of '/About-Us' to 'Our Team' on currentsite"
"List all rows from the custom table 'MyCompany.Inventory'"
Troubleshooting Kentico (CMS & DXP) MCP Server with Vercel AI SDK
Common issues when connecting Kentico (CMS & DXP) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKentico (CMS & DXP) + Vercel AI SDK FAQ
Common questions about integrating Kentico (CMS & DXP) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Kentico (CMS & DXP) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kentico (CMS & DXP) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.