How to Use the Miro MCP in Mastra AI

Q: Can I use Miro with Mastra AI workflows?

Absolutely. You build multi-step sequences that invoke createstickynote or deleteboard based on conditional logic within your workflow.

Build reliable, automated brainstorming workflows for Mastra AI using this Miro MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Miro MCP to Mastra AI

Create your Vinkius account to connect Miro to Mastra AI 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 Mastra AI

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Perplexity

Automated brainstorming with Mastra AI

Set up your agent to iterate through ideas by calling `create_sticky_note`. It works inside your Mastra workflow engine to keep the creative process moving. You define the logic for when to add notes based on your agent's findings. It automates the messy part of documenting a group session.

Programmatic board control for Mastra AI

Use `create_board` to spin up fresh canvases for specific projects. Your Mastra workflow can trigger this whenever a new task starts. It keeps your workspace organized without manual intervention. Each project gets its own clean slate for the agent to work on.

Audit board activity with Mastra AI

Monitor your team's progress by querying `list_boards` and `get_board_details`. Your agents can report back on status changes automatically. This allows for proactive management of your creative pipelines. You stay informed without needing to check the dashboard manually.

Setup guide

Set up Miro MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Miro tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "miro-alternative-mcp-client",
  servers: {
    "miro-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Miro Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Miro tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Miro transactions"
);
console.log(result.text);

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Why Choose Vinkius

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Common questions about Miro MCP in Mastra AI

You instantiate the MCP client in your agent definition. Once initialized, you spread the available tools into your agent's toolset for immediate use.

Absolutely. You build multi-step sequences that invoke `create_sticky_note` or `delete_board` based on conditional logic within your workflow.

Yes. You can configure your agent to retry tool calls if the API hits a limit. It ensures your brainstorming workflow doesn't stall.

The Vinkius endpoint handles the handshake. You just provide the token in your client config, and the server manages the rest.

All interactions are scoped to your authenticated user. The server never stores your board content, keeping your private design data safe.

Use it with your favorite AI tools

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