Kontent.ai 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 Kontent.ai through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Kontent.ai, 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 Kontent.ai MCP Server
Connect your AI agent to Kontent.ai Delivery API to fetch and analyze your modular content.
The Vercel AI SDK gives every Kontent.ai 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.
Key Features
- Content Item Retrieval — Fetch the full modular content of any item by its codename
- Schema Auditing — List and examine content types to understand your project's data model
- Taxonomy Access — Query taxonomy groups and terms for content categorization
- Asset Discovery — Locate images and files stored in your content library
- Smart Search — Perform filtered searches across your entire delivery repository
Simple Setup
1. Subscribe to this server
2. Get your Project ID from Kontent.ai (Project Settings > API keys)
3. (Optional) Enter your Delivery API Key if Secure Access is enabled
4. Start querying your content via natural language
The Kontent.ai 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 Kontent.ai to Vercel AI SDK via MCP
Follow these steps to integrate the Kontent.ai 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 Kontent.ai and passes them to the LLM
Why Use Vercel AI SDK with the Kontent.ai MCP Server
Vercel AI SDK provides unique advantages when paired with Kontent.ai 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 Kontent.ai integration everywhere
Built-in streaming UI primitives let you display Kontent.ai 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
Kontent.ai + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kontent.ai MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kontent.ai in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kontent.ai tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kontent.ai capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kontent.ai through natural language queries
Kontent.ai MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Kontent.ai to Vercel AI SDK via MCP:
get_content_item
Get a specific content item by codename
get_content_type
Get details for a content type
get_content_type_element
g., options for a multiple choice element). Get metadata for a specific element in a type
get_taxonomy_group
Get details for a taxonomy group
list_content_assets
ai. Query assets from the content library
list_content_items
Use this to find codenames for specific articles, products, or pages. List all content items from Kontent.ai
list_content_types
List all content types (schemas)
list_project_languages
List supported languages
list_taxonomies
List taxonomy groups
search_kontent_ai
Search for content using query parameters
Example Prompts for Kontent.ai in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kontent.ai immediately.
"List the last 10 content items in Kontent.ai"
"Show the schema for content type 'article'"
"Search for items related to 'Winter Sale'"
Troubleshooting Kontent.ai MCP Server with Vercel AI SDK
Common issues when connecting Kontent.ai to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKontent.ai + Vercel AI SDK FAQ
Common questions about integrating Kontent.ai 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 Kontent.ai 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 Kontent.ai to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.