How to Use the Miro MCP in Vercel AI SDK

Q: Can Vercel AI SDK display Miro board items?

Yes. You fetch the items using listboarditems and stream the result directly to your frontend components. It renders the data as it arrives.

Stream real-time Miro board data directly into your Vercel AI SDK frontends for live visual collaboration.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Miro MCP to Vercel AI SDK

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live board visualization in Vercel AI SDK

Pipe board content straight into your React components. When your agent triggers `list_board_items`, the UI updates instantly as the data streams. This removes the need for clunky loading states. Your users watch as the AI populates the board in real-time right before their eyes.

Direct board manipulation via Vercel AI SDK

Your agent can drop content onto the canvas using `create_sticky_note`. It handles the heavy lifting while your interface reflects the change immediately. This keeps your application state in sync with the Miro canvas. You stop worrying about polling for updates and let the stream handle the heavy lifting.

Manage board access with Vercel AI SDK

Control who sees what by invoking `list_board_members` through your agent. It gives you the granular control needed for enterprise-grade dashboards. Building secure, private-facing tools becomes trivial. You check permissions before the agent executes any sensitive action on the board.

Setup guide

Set up Miro 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 Miro 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 Miro 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 Miro. 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 Miro 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 Miro MCP in Vercel AI SDK

Install the MCP client package and configure your transport layer. You point the client to your Vinkius endpoint and pass the tools directly into your `generateText` call.

Yes. You fetch the items using `list_board_items` and stream the result directly to your frontend components. It renders the data as it arrives.

Vinkius handles the auth tunnel. Your tokens stay isolated in the sandbox, ensuring that only authorized agents interact with your boards.

The AI client receives the error directly. You should implement standard try-catch blocks in your handler to manage these failures gracefully.

The server respects your board-level sharing settings. It only touches the specific data you authorize via your endpoint token.

Use it with your favorite AI tools

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