How to Use the Magnolia (Enterprise Headless CMS) MCP in Vercel AI SDK

Q: How do I start using Magnolia (Enterprise Headless CMS) with the Vercel AI SDK?

Install the @ai-sdk/mcp package and point the MCP client to your Vinkius endpoint URL. Your agent can immediately access tools like mg.querydeliverynodes and start streaming content from Magnolia into your UI.

Q: Can my agent create new content in Magnolia?

Yes. Give your agent the mg.createcmsnode tool. It can take input from a user in your Vercel AI SDK app and use it to provision a new JSON payload as a node in the CMS.

Q: How does this MCP Server handle different workspaces in Magnolia?

Your agent can discover available workspaces using mg.listjcrworkspaces. You can then target specific tools, like mg.executeworkspacecommand, to the correct workspace, ensuring your operations run in the right context.

Stream Magnolia CMS content directly into your Vercel AI SDK frontend. No loading spinners, just live data.

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Connect Magnolia (Enterprise Headless CMS) MCP to Vercel AI SDK

Create your Vinkius account to connect Magnolia (Enterprise Headless CMS) 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 Magnolia (Enterprise Headless CMS) with Vercel AI SDK

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Build Live Content Previews

Stop refreshing your app to see content changes. Your agent can use this MCP server to pull content from Magnolia and stream it directly into your React or Svelte components. The Vercel AI SDK renders the data as it arrives, so your users see content appearing word-by-word, not after a long wait. Use `mg.get_delivery_node` to fetch a specific page or component by its path. Your agent gets the raw JSON from the JCR tree and pipes it straight to the UI. It's the fastest way to build a headless preview environment that actually feels instant.

Query Magnolia from the Frontend

Let your user ask for content directly. An agent connected to your Vercel AI SDK app can translate a user's request, like "find all articles about JCR nodes," into a structured query. The agent then runs `mg.query_delivery_nodes` to find matching content in your Magnolia instance. The results stream back to the UI, building a list of links or summaries in real-time. You're not just showing static data; you're building an interactive content browser powered by your agent.

Map CMS Structure to UI Components

Your UI can finally match your CMS structure perfectly. Give your agent the `mg.get_delivery_children` tool to fetch the hierarchy of a content section. It can then use `mg.get_template_schema` to check what kind of content each child node holds. Based on the schema, your agent knows exactly which React or Vue component to render. This isn't just mapping data to a template; it's building a dynamic, self-assembling interface that adapts to your content model on the fly.

Setup guide

Set up Magnolia (Enterprise Headless CMS) 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 Magnolia (Enterprise Headless CMS) 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 Magnolia (Enterprise Headless CMS) transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Magnolia CMS. 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.

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Common questions about Magnolia (Enterprise Headless CMS) MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and point the MCP client to your Vinkius endpoint URL. Your agent can immediately access tools like `mg.query_delivery_nodes` and start streaming content from Magnolia into your UI.

Yes. Give your agent the `mg.create_cms_node` tool. It can take input from a user in your Vercel AI SDK app and use it to provision a new JSON payload as a node in the CMS.

Build a conversational content editor. A user can tell your agent to "update the headline on the winter campaign page," and the agent uses `mg.patch_cms_node` to make the change. The result streams back, updating the UI instantly.

Your agent can discover available workspaces using `mg.list_jcr_workspaces`. You can then target specific tools, like `mg.execute_workspace_command`, to the correct workspace, ensuring your operations run in the right context.

This server only handles the data needed for a specific tool call. For instance, `mg.get_delivery_node` processes the JSON content of that single JCR node. All operations happen in an ephemeral sandbox, and Vinkius handles the authentication token securely, so your credentials are never exposed.

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