# How to integrate Miro MCP with Mastra AI

```json
{
  "title": "How to integrate Miro MCP with Mastra AI",
  "toolkit": "Miro",
  "toolkit_slug": "miro",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/miro/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/miro/framework/mastra-ai.md",
  "updated_at": "2026-05-06T08:20:18.530Z"
}
```

## Introduction

This guide walks you through connecting Miro to Mastra AI using the Composio tool router. By the end, you'll have a working Miro agent that can create a new board for marketing brainstorm, list all boards owned by your team, show members of the q2 planning board through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Miro account through Composio's Miro MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Miro with

- [ChatGPT](https://composio.dev/toolkits/miro/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/miro/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/miro/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/miro/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/miro/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/miro/framework/codex)
- [Cursor](https://composio.dev/toolkits/miro/framework/cursor)
- [VS Code](https://composio.dev/toolkits/miro/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/miro/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/miro/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/miro/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/miro/framework/cli)
- [Google ADK](https://composio.dev/toolkits/miro/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/miro/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/miro/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/miro/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/miro/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Set up your environment so Mastra, OpenAI, and Composio work together
- Create a Tool Router session in Composio that exposes Miro tools
- Connect Mastra's MCP client to the Composio generated MCP URL
- Fetch Miro tool definitions and attach them as a toolset
- Build a Mastra agent that can reason, call tools, and return structured results
- Run an interactive CLI where you can chat with your Miro agent

## What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.
Key features include:
- MCP Client: Built-in support for Model Context Protocol servers
- Toolsets: Organize tools into logical groups
- Step Callbacks: Monitor and debug agent execution
- OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

## What is the Miro MCP server, and what's possible with it?

The Miro MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Miro account. It provides structured and secure access to your whiteboards, so your agent can create new boards, manage board content, organize workflows, and collaborate visually—all on your behalf.
- Automated board creation and setup: Instantly instruct your agent to create new Miro boards with specific names and descriptions for projects, brainstorming, or workshops.
- Visual content management: Ask your agent to add, retrieve, or delete items such as shapes, sticky notes, app cards, or document items from any board, keeping your workspace tidy and up to date.
- Efficient team and member management: Have your agent fetch and list all members of a board so you can easily track collaborators and manage access.
- Seamless board organization and retrieval: Let your agent search and retrieve boards by team, owner, or keyword to keep your workspace organized and easy to navigate.
- Connector and tag insights: Direct your agent to get details on connectors and tags used within boards, helping you map relationships and categorize content visually.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MIRO_CREATE_BOARD` | Create Board | Tool to create a new board. use when you need to set up a board with a specific name, description, and policies. example: "create a new board named project plan". |
| `MIRO_DELETE_APP_CARD_ITEM` | Delete App Card Item | Tool to delete an app card item from a board. use when you need to remove an app card item created by your app after it is no longer needed. |
| `MIRO_DELETE_DOCUMENT_ITEM` | Delete Document Item | Tool to delete a document item from a board. use when you need to remove a document item (e.g., pdf or image) that is no longer relevant. example: "delete the document item with id 'item456' from board 'board123'." |
| `MIRO_DELETE_ITEM` | Delete Item | Tool to delete a specific item from a board. use when you need to remove an item (e.g., shape, sticky note) after confirming its board and item ids. |
| `MIRO_GET_APP_CARD_ITEM` | Get App Card Item | Tool to retrieve a specific app card item by its id. use when you need the details of an existing app card item. |
| `MIRO_GET_BOARD` | Get Board | Tool to retrieve details of a specific board. use when you have a board id and need to fetch its metadata. |
| `MIRO_GET_BOARD_MEMBERS` | Get Board Members | Tool to retrieve a list of members for a board. use when you need to list all users with access to a board after confirming its id. |
| `MIRO_GET_BOARDS` | Get Boards | Tool to retrieve accessible boards with optional filters. use when you need to list or search boards by team, project, owner, or keywords. |
| `MIRO_GET_CONNECTORS` | Get Connectors | Tool to retrieve a list of connectors on a board. use after confirming the board id and when you need to page through connector items. |
| `MIRO_GET_TAG` | Get Tag | Tool to retrieve details of a specific tag on a board. use when you have a board id and tag id and need its metadata. |
| `MIRO_LIST_ORGANIZATIONS` | List Organizations | Tool to retrieve list of organizations accessible to the user. use when you need to view all available organizations. |
| `MIRO_MIRO_CREATE_APP_CARD_ITEM` | Create App Card Item | Tool to add an app card item to a board. use when you need to push a rich preview card with custom fields into a miro board (e.g., after assembling card data). |
| `MIRO_UPDATE_APP_CARD_ITEM` | Update App Card Item | Tool to update an app card item on a board. use when you need to modify properties of an existing app card item. include only fields to change. |
| `MIRO_UPDATE_BOARD` | Update Board | Tool to update properties of a specific board. use when you have a board id and need to modify its name, description, or permissions policy. use after confirming the board exists. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Miro MCP server is an implementation of the Model Context Protocol that connects your AI agent to Miro. It provides structured and secure access so your agent can perform Miro operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Node.js 18 or higher
- A Composio account with an active API key
- An OpenAI API key
- Basic familiarity with TypeScript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key.
- You need credits or a connected billing setup to use the models.
- Store the key somewhere safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.
- This key lets your Mastra agent talk to Composio and reach Miro through MCP.

### 2. Install dependencies

Install the required packages.
What's happening:
- @composio/core is the Composio SDK for creating MCP sessions
- @mastra/core provides the Agent class
- @mastra/mcp is Mastra's MCP client
- @ai-sdk/openai is the model wrapper for OpenAI
- dotenv loads environment variables from .env
```bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio
- COMPOSIO_USER_ID tells Composio which user this session belongs to
- OPENAI_API_KEY lets the Mastra agent call OpenAI models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

What's happening:
- dotenv/config auto loads your .env so process.env.* is available
- openai gives you a Mastra compatible model wrapper
- Agent is the Mastra agent that will call tools and produce answers
- MCPClient connects Mastra to your Composio MCP server
- Composio is used to create a Tool Router session
```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
```

### 5. Create a Tool Router session for Miro

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "miro" for Miro access
- session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
```typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["miro"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Miro MCP URL:", composioMCPUrl);
```

### 6. Configure Mastra MCP client and fetch tools

What's happening:
- MCPClient takes an id for this client and a list of MCP servers
- The headers property includes the x-api-key for authentication
- getTools fetches the tool definitions exposed by the Miro toolkit
```typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
```

### 7. Create the Mastra agent

What's happening:
- Agent is the core Mastra agent
- name is just an identifier for logging and debugging
- instructions guide the agent to use tools instead of only answering in natural language
- model uses openai("gpt-5") to configure the underlying LLM
```typescript
const agent = new Agent({
    name: "miro-mastra-agent",
    instructions: "You are an AI agent with Miro tools via Composio.",
    model: "openai/gpt-5",
  });
```

### 8. Set up interactive chat interface

What's happening:
- messages keeps the full conversation history in Mastra's expected format
- agent.generate runs the agent with conversation history and Miro toolsets
- maxSteps limits how many tool calls the agent can take in a single run
- onStepFinish is a hook that prints intermediate steps for debugging
```typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        miro: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
```

## Complete Code

```typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["miro"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      miro: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "miro-mastra-agent",
    instructions: "You are an AI agent with Miro tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { miro: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();
```

## Conclusion

You've built a Mastra AI agent that can interact with Miro through Composio's Tool Router.
You can extend this further by:
- Adding other toolkits like Gmail, Slack, or GitHub
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows

## How to build Miro MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/miro/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/miro/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/miro/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/miro/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/miro/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/miro/framework/codex)
- [Cursor](https://composio.dev/toolkits/miro/framework/cursor)
- [VS Code](https://composio.dev/toolkits/miro/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/miro/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/miro/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/miro/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/miro/framework/cli)
- [Google ADK](https://composio.dev/toolkits/miro/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/miro/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/miro/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/miro/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/miro/framework/crew-ai)

## Related Toolkits

- [Figma](https://composio.dev/toolkits/figma) - Figma is a collaborative interface design tool for teams and individuals. It streamlines design workflows with real-time collaboration and easy sharing.
- [Abyssale](https://composio.dev/toolkits/abyssale) - Abyssale is a creative automation platform for generating images, videos, GIFs, PDFs, and HTML5 content programmatically. It streamlines and scales visual content production for marketing, design, and operations teams.
- [Alttext ai](https://composio.dev/toolkits/alttext_ai) - AltText.ai is a service that generates alt text for images automatically. It helps boost accessibility and SEO for your visual content.
- [Bannerbear](https://composio.dev/toolkits/bannerbear) - Bannerbear is an API-driven platform for generating images and videos automatically at scale. It helps businesses create custom graphics, social visuals, and marketing assets using powerful templates.
- [Canva](https://composio.dev/toolkits/canva) - Canva is a drag-and-drop design suite for creating professional graphics, presentations, and marketing materials. It makes it easy for anyone to design with beautiful templates and a vast library of elements.
- [Claid ai](https://composio.dev/toolkits/claid_ai) - Claid.ai delivers AI-driven image editing APIs for tasks like background removal, upscaling, and color correction. It helps automate and enhance image workflows with powerful, developer-friendly tools.
- [Cloudinary](https://composio.dev/toolkits/cloudinary) - Cloudinary is a cloud-based platform for managing, uploading, and transforming images and videos. It streamlines media workflows and delivers optimized assets globally.
- [Cults](https://composio.dev/toolkits/cults) - Cults is a digital marketplace for 3D printing models, connecting designers and makers. It lets creators share, sell, and discover a huge variety of printable designs easily.
- [DeepImage](https://composio.dev/toolkits/deepimage) - DeepImage is an AI-powered image enhancer and upscaler. Get higher-quality images with just a few clicks.
- [Dreamstudio](https://composio.dev/toolkits/dreamstudio) - DreamStudio is Stability AI’s platform for generating and editing images with AI. It lets you easily turn ideas into stunning visuals, fast.
- [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools.
- [Html to image](https://composio.dev/toolkits/html_to_image) - Html to image converts HTML and CSS into images or captures web page screenshots. Instantly generate visuals from code or web content—no manual screenshots needed.
- [Imagior](https://composio.dev/toolkits/imagior) - Imagior is an AI-powered image generation platform that lets you create and customize images using dynamic templates and APIs. Perfect for businesses and creators needing fast, scalable visuals without design hassle.
- [Imejis io](https://composio.dev/toolkits/imejis_io) - Imejis io is an API-based image generation platform with powerful customization and template support. It lets you create and modify images in seconds, no manual design work required.
- [Imgix](https://composio.dev/toolkits/imgix) - Imgix is a real-time image processing and delivery service for developers. It helps you optimize, transform, and deliver images efficiently at any scale.
- [Kraken io](https://composio.dev/toolkits/kraken_io) - Kraken.io is an image optimization and compression platform. It helps you shrink image file sizes while keeping visual quality intact.
- [Logo dev](https://composio.dev/toolkits/logo_dev) - Logo.dev is an API and database for high-resolution company logos and brand metadata. Instantly fetch official logos from any domain without scraping or manual searching.
- [Mural](https://composio.dev/toolkits/mural) - Mural is a digital whiteboard platform for distributed visual collaboration. It helps teams brainstorm, map ideas, and diagram together in real time.
- [Pexels](https://composio.dev/toolkits/pexels) - Pexels is a free stock library offering high-quality photos and videos via API. Instantly boost your app or website with stunning visuals for any use case.
- [Placid](https://composio.dev/toolkits/placid) - Placid is a creative automation toolkit that generates images, PDFs, and videos from custom templates via API. Effortlessly automate creative workflows and dynamic content creation at scale.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Miro MCP?

With a standalone Miro MCP server, the agents and LLMs can only access a fixed set of Miro tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Miro and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Mastra AI?

Yes, you can. Mastra AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Miro tools.

### Can I manage the permissions and scopes for Miro while using Tool Router?

Yes, absolutely. You can configure which Miro scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Miro data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)