How to Use the Miro MCP in Vercel AI SDK

Q: How do I list Miro boards in Vercel AI SDK?

Call listboards via your MCP client instance. This returns an array of accessible boards, which you can then map over to populate your UI.

Q: Can Vercel AI SDK trigger Miro sticky note creation?

Yes. Pass the createstickynote tool to your streamText function. The agent will execute the creation once it receives the instruction.

Stream Miro board data directly into your Vercel AI SDK interface for real-time visual updates.

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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.

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Setup Miro with Vercel AI SDK

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Live board content visualization

Pipe live board data straight into your frontend components using `list_board_items`. Your users see the board state update as the agent iterates through widgets. Stop waiting for spinners. The `get_board_item` tool fetches specific widget details, letting your UI render card and sticky note content the millisecond the agent grabs it.

Dynamic board generation

Automate board creation directly from your application logic with `create_board`. You define the board structure, and the agent handles the rest behind the scenes. Use `create_sticky_note` or `create_card` to inject user-provided data into new workspaces. It's a clean way to turn raw input into organized project boards.

Context-aware board management

Verify your environment with `get_user_context` before triggering updates. It ensures the agent acts on behalf of the correct user identity every time. Keep your board organization tight by using `update_board` to rename assets as projects evolve. Everything stays synced with your app state through simple, direct tool calls.

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();

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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.

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Common questions about Miro MCP in Vercel AI SDK

Call `list_boards` via your MCP client instance. This returns an array of accessible boards, which you can then map over to populate your UI.

Yes. Pass the `create_sticky_note` tool to your `streamText` function. The agent will execute the creation once it receives the instruction.

It does. Because the server supports standard transport protocols, tool results stream back to your frontend as they complete.

Provide your token through the environment variables of your MCP server configuration. Your agent handles the authentication automatically.

Your credentials and board content never touch our servers. The MCP server acts as a private bridge, passing board IDs and item metadata directly between your agent and the API.

Use it with your favorite AI tools

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