How to Use the Frontify MCP in Vercel AI SDK

Q: Can the Vercel AI SDK edit my Frontify assets?

Yes. You use the patchassetmetadata tool to update information or wipemediaasset for cleanup. Ensure your API token has the correct permissions to perform these writes.

Q: How are Frontify workspace projects handled in the Vercel AI SDK?

You call listworkspaceprojects to pull your active project list. This data arrives as a structured array you can map directly to your frontend components.

Stream Frontify asset data directly into your Vercel AI SDK interface for real-time brand management.

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Connect Frontify MCP to Vercel AI SDK

Create your Vinkius account to connect Frontify 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 Frontify with Vercel AI SDK

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Live asset and metadata control

Feed live brand portal data into your UI components using `get_project_assets` and `patch_asset_metadata`. Your users see updates as they happen because the tools stream results back to the frontend. Stop waiting on loading spinners. By piping these tools through the SDK, you turn static brand portals into interactive dashboards that reflect changes immediately.

Automate Frontify brand audits

Run automated checks on your brand guidelines using `list_brand_guidelines` and `execute_graphql_payload`. These tools pull the exact structural state of your documentation trees into your application logic. Detect inconsistencies before they hit production. You can trigger these checks on demand to ensure every asset adheres to the current global namespace.

Manage users and workspace limits

Use `invite_workspace_user` and `get_account_limits` to handle administrative tasks within your own application. It keeps your team in sync without leaving your custom interface. You gain full visibility into your current constraints. This prevents unexpected downtime by surfacing account limitations before they block your team's workflow.

Setup guide

Set up Frontify 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 Frontify 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 Frontify transactions",
});

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

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Common questions about Frontify MCP in Vercel AI SDK

Install the MCP client packages and point your configuration to the Vinkius endpoint. You initialize the client and pass the tools directly into your generation functions.

Yes. You use the `patch_asset_metadata` tool to update information or `wipe_media_asset` for cleanup. Ensure your API token has the correct permissions to perform these writes.

It does. Because the server supports standard transport protocols, results stream directly into your UI components as the AI processes them.

You call `list_workspace_projects` to pull your active project list. This data arrives as a structured array you can map directly to your frontend components.

Vinkius uses an ephemeral sandbox for your connection. We only handle the transport of your specific metadata and asset pointers, ensuring your credentials stay isolated.

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