Storyblok MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Storyblok through the 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 Storyblok, 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 Storyblok MCP Server
Integrate the powerful headless CMS capabilities of Storyblok directly into your conversational AI. Empower your content teams and developers to organically draft narratives, parse complex asset repositories, and orchestrate page component definitions without relying entirely on the visual editor. Bind your AI local context directly to your Storyblok environment securely, enabling programmatic schema generation and continuous iteration utilizing a streamlined conversational interface designed to accelerate creative velocity.
The Vercel AI SDK gives every Storyblok tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through the 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
- Space & Content Discovery — Instantly list active enterprise environments utilizing
list_spacesand fetch broad overarching overviews referencing stories vialist_stories. - Content Construction — Swiftly produce or update textual assets creating schemas directly from prompts invoking
create_content_storyandupdate_content_storysystematically. - Asset & Structure Exploration — Analyze media repositories via
list_assetsand precisely inspect available schema blueprints callinglist_componentsto standardize development. - Risk Management — Exercise safe administrative control over local projects, evaluating internal authorized operators implementing modifications using
list_space_users.
The Storyblok 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 Storyblok to Vercel AI SDK via MCP
Follow these steps to integrate the Storyblok 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 9 tools from Storyblok and passes them to the LLM
Why Use Vercel AI SDK with the Storyblok MCP Server
Vercel AI SDK provides unique advantages when paired with Storyblok 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 Storyblok integration everywhere
Built-in streaming UI primitives let you display Storyblok 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
Storyblok + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Storyblok MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Storyblok in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Storyblok tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Storyblok capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Storyblok through natural language queries
Storyblok MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Storyblok to Vercel AI SDK via MCP:
create_content_story
Provide a name, slug, and content JSON. Creates a new story in a Storyblok space
delete_content_story
This action is irreversible. Permanently deletes a Storyblok story
get_story_details
Retrieves details for a specific content story
list_assets
Lists media assets in a Storyblok space
list_components
Lists available content components
list_space_users
Lists all users with access to a specific space
list_spaces
Lists all accessible Storyblok spaces
list_stories
Requires a space ID. Lists content stories within a specific space
update_content_story
Requires space and story IDs. Updates fields of an existing Storyblok story
Example Prompts for Storyblok in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Storyblok immediately.
"List the recent articles from my Storyblok space and detail their structural components."
"List the structure blueprints by calling list_components and then formulate a new JSON to create a blog story."
"List all multimedia assets in my Storyblok space and display their URLs."
Troubleshooting Storyblok MCP Server with Vercel AI SDK
Common issues when connecting Storyblok to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpStoryblok + Vercel AI SDK FAQ
Common questions about integrating Storyblok 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 Storyblok 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 Storyblok to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.