How to Use the MasterGo MCP in Vercel AI SDK

Q: How do I connect MasterGo to Vercel AI SDK?

Install @ai-sdk/mcp. Initialize it with createMCPClient pointing to the MasterGo MCP Server endpoint. Pass the resulting mcpClient.tools() directly into streamText to start pulling design data.

Q: Can Vercel AI SDK stream MasterGo comments to Next.js?

Yes. Call getcomments through the AI SDK. The text chunks stream directly to your React components, letting users read feedback as the agent parses it.

Stream live MasterGo design assets and comments directly into your React or Next.js frontend using the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MasterGo MCP to Vercel AI SDK

Create your Vinkius account to connect MasterGo 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.

GDPR Free for Subscribers

Setup MasterGo with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream Design Nodes with Vercel AI SDK

`list_nodes` pulls exact component structures and properties from your MasterGo files. Your Vercel AI SDK client streams this data directly into the DOM as it arrives over the network. Users see the design tokens load instantly without waiting for a massive JSON payload to resolve. Combine this with `list_styles` to render live style guides in your web app. As designers update typography or colors in MasterGo, your frontend updates dynamically. No manual exports. No stale design system documentation.

Render File Histories Instantly

`get_file_versions` fetches the exact commit history of any design asset. You pass the file ID, and the MCP server returns timestamps, authors, and version hashes. Hook this into a Next.js Edge Function. When a user requests an audit trail, the AI streams the timeline straight to a custom React component. You get immediate visual feedback for complex design handoffs.

Surface Live Feedback Context

`get_comments` retrieves all feedback threads attached to specific canvas coordinates. Your agent reads these coordinates and maps them to the corresponding UI components in your codebase. Build an internal dashboard where product managers can review open design threads. The agent pulls the comments, formats them, and streams the text directly to your Vercel frontend. Fix the feedback loop without leaving the browser.

Setup guide

Set up MasterGo 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 MasterGo 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 MasterGo 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 MasterGo. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MasterGo now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MasterGo MCP in Vercel AI SDK

Install `@ai-sdk/mcp`. Initialize it with `createMCPClient` pointing to the MasterGo MCP Server endpoint. Pass the resulting `mcpClient.tools()` directly into `streamText` to start pulling design data.

Yes. Call `get_comments` through the AI SDK. The text chunks stream directly to your React components, letting users read feedback as the agent parses it.

It works perfectly in Edge environments. The server uses standard HTTP transport, so you avoid Node.js native dependency issues when deploying to Vercel.

No. This integration is strictly read-only. Your agent can read nodes, styles, and team structures, but it cannot alter the original design files.

The server only accesses the specific design nodes, comments, and project metadata authorized by your endpoint token. It operates within a V8 Isolate Sandbox. Memory purges immediately after the connection drops, leaving zero residual data behind.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript