How to integrate Miro MCP with LangChain

This guide walks you through connecting Miro to LangChain 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 LangChain 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.

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Miro

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Miro is a collaborative online whiteboard platform for teams to brainstorm, design, and manage projects visually. It streamlines teamwork by enabling real-time idea sharing, diagramming, and workflow planning in a single space.

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Introduction

This guide will help you understand how to give your LangChain 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 OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK Vercel AI SDK Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

Get and set up your OpenAI and Composio API keys
Connect your Miro project to Composio
Create a Tool Router MCP session for Miro
Initialize an MCP client and retrieve Miro tools
Build a LangChain agent that can interact with Miro
Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

Agent Framework: Build agents that can use tools and make decisions
MCP Integration: Connect to external services through Model Context Protocol adapters
Memory Management: Maintain conversation history across interactions
Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS

Prerequisites

Before starting this tutorial, make sure you have:

Python 3.10 or higher installed on your system
A Composio account with an API key
An OpenAI API key
Basic familiarity with Python and async programming

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
Keep the API key safe.

Composio API Key

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

@composio/langchain provides Composio integration for LangChain
@langchain/mcp-adapters enables MCP client connections
@langchain/core is the core agent framework
dotenv/config loads environment variables

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your requests to Composio's API
COMPOSIO_USER_ID identifies the user for session management
OPENAI_API_KEY enables access to OpenAI's language models

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();

What's happening:

We're importing LangChain's MCP adapter and Composio SDK
The dotenv/config import loads environment variables from your .env file
This setup prepares the foundation for connecting LangChain with Miro functionality through MCP

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

What's happening:

We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
Creating a Composio instance that will manage our connection to Miro tools
Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['miro']
    }
);

const url = session.mcp.url;

What's happening:

We're creating a Tool Router session that gives your agent access to Miro tools
The create method takes the user ID and specifies which toolkits should be available
The returned session.mcp.url is the MCP server URL that your agent will use
This approach allows the agent to dynamically load and use Miro tools as needed

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "miro-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });

What's happening:

We're creating a MultiServerMCPClient that connects to our Miro MCP server via HTTP
The client is configured with a name and the URL from our Tool Router session
getTools() retrieves all available Miro tools that the agent can use
We're creating a LangChain agent using the GPT-5 model

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Miro related question or task to the agent.\n");

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

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;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });

What's happening:

We initialize an empty conversationHistory list to maintain context across interactions
A readline interface is used to continuously accept user input from the command line
When a user types a message, it's added to the conversation history and sent to the agent
The agent processes the request using the invoke() method with the full conversation history
Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully

Run the application

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

What's happening:

We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Miro and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['miro']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "miro-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Miro related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    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;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

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

Conclusion

You've successfully built a LangChain agent that can interact with Miro through Composio's Tool Router.

Key features of this implementation:

Dynamic tool loading through Composio's Tool Router
Conversation history maintenance for context-aware responses
Async Python provides clean, efficient execution of agent workflows

You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

TOOLS

Supported Tools

Every Miro action and event your agent gets out of the box.

Attach Tag To Item

Tool to attach an existing tag to a specific item on a Miro board.

Create App Card Item

Tool to add an app card item to a board.

Create Board

Tool to create a new board.

Create Card Item

Tool to create a card item on a Miro board.

Create Connector

Tool to create a connector (edge/arrow) that links two existing board items.

Create Document Item

Tool to create a document item on a Miro board by providing a URL to the document.

Create Document Item Using File From Device

Tool to create a document item on a Miro board using a URL to the document.

Create Embed Item

Tool to create an embed item on a Miro board by providing a URL to embed content (YouTube videos, websites, etc.

Create Frame Item

Tool to add a frame item to a Miro board.

Create Group

Tool to create a group on a Miro board by grouping multiple items together.

Create Image Item Using Local File

Tool to create an image item on a Miro board by uploading a local image file.

Create Items in Bulk

Tool to create multiple items on a Miro board in a single request.

Create Mind Map Node (Experimental)

Tool to create a mind map node on a Miro board.

Create Shape Item

Tool to create a shape item on a Miro board.

Create Sticky Note Item

Tool to create a sticky note item on a Miro board.

Create Tag

Tool to create a new tag on a Miro board.

Create Text Item

Tool to create a text item on a Miro board.

Delete App Card Item

Tool to delete an app card item from a board.

Delete Card Item

Tool to delete a card item from a board.

Delete Connector

Tool to delete a specific connector from a board.

Delete Document Item

Tool to delete a document item from a board.

Delete Embed Item

Tool to delete an embed item from a board.

Delete Frame Item

Tool to delete a frame item from a Miro board.

Delete Group

Tool to delete a group from a board.

Delete Image Item

Tool to delete an image item from a board.

Delete Item

Tool to delete a specific item from a board.

Delete Mind Map Node (Experimental)

Tool to delete a mind map node from a board.

Delete Shape Item

Tool to delete a shape item from a board.

Delete Sticky Note Item

Tool to delete a sticky note item from a board.

Delete Tag

Tool to delete a specific tag from a board.

Delete Text Item

Tool to delete a text item from a board.

Get All Groups

Tool to retrieve all groups on a Miro board with cursor-based pagination.

Get App Card Item 2

Tool to retrieve a specific app card item by its ID from a Miro board.

Get Board Items

Tool to list items on a Miro board (shapes, stickies, cards, etc.

Get Board Members

Tool to retrieve a list of members for a board.

Get Boards V2

Tool to retrieve accessible boards with optional filters.

Get Card Item

Tool to retrieve a specific card item from a Miro board.

Get Connector

Tool to retrieve a specific connector by its ID.

Get Connectors

Tool to retrieve a list of connectors on a board.

Get Document Item

Tool to retrieve a specific document item from a Miro board by its ID.

Get Embed Item

Tool to retrieve a specific embed item from a board by its ID.

Get Frame Item

Tool to retrieve a specific frame item from a Miro board.

Get Group By ID

Tool to retrieve a specific group by its ID.

Get Image Item

Tool to retrieve a specific image item from a board.

Get Item Tags

Tool to retrieve tags attached to a specific item on a Miro board.

Get Mind Map Node

Tool to retrieve a specific mind map node from a board.

Get Mind Map Nodes (Experimental)

Tool to retrieve mind map nodes from a Miro board.

Get oEmbed Data

Tool to retrieve oEmbed data for a Miro board.

Get Shape Item

Tool to retrieve a specific shape item from a Miro board by its ID.

Get Specific Board

Tool to retrieve detailed information about a specific board by its ID.

Get Specific Board Member

Tool to retrieve details of a specific board member.

Get Specific Item

Tool to retrieve a specific item from a Miro board by its ID.

Get Sticky Note Item

Tool to retrieve a specific sticky note item from a board by its ID.

Get Tag

Tool to retrieve details of a specific tag on a board.

Get Text Item

Tool to retrieve a specific text item from a Miro board by its ID.

List Board Tags

Tool to list all tags on a Miro board.

Get Organization Context

Retrieves the organization associated with the current access token.

Share Board

Tool to share a board by inviting users via email.

Update App Card Item 2

Tool to update an app card item on a Miro board.

Update Board

Tool to update properties of a specific board.

Update Board Member

Tool to update the role of a specific board member.

Update Card Item

Tool to update a card item on a Miro board.

Update Connector

Tool to update an existing connector on a Miro board.

Update Document Item

Tool to update a document item on a Miro board.

Update Embed Item

Tool to update an embed item on a board.

Update Frame Item

Tool to update a frame item on a Miro board.

Update Group

Tool to update a group on a Miro board with new items.

Update Image Item

Tool to update an existing image item on a board.

Update Item Position or Parent

Tool to update an item's position or parent frame on a Miro board.

Update Shape Item

Tool to update an existing shape item on a Miro board.

Update Sticky Note Item

Tool to update a sticky note item on a Miro board.

Update Tag

Tool to update a tag on a board.

Update Text Item

Tool to update a text item on a Miro board.

FRAMEWORKS

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ChatGPT

Use Miro MCP with ChatGPT

OpenAI Agents SDK

Use Miro MCP with OpenAI Agents SDK

Claude Agent SDK

Use Miro MCP with Claude Agent SDK

Claude Code

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Claude Cowork

Use Miro MCP with Claude Cowork

Codex

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Cursor

Use Miro MCP with Cursor

OpenClaw

Use Miro MCP with OpenClaw

Hermes

Use Miro MCP with Hermes

CLI

Use Miro MCP with CLI

Google ADK

Use Miro MCP with Google ADK

Vercel AI SDK

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Mastra AI

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LlamaIndex

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CrewAI

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OpenCode

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VS Code

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MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Figma

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Abyssale

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Alttext ai

Api Key

AltText.ai is a service that generates alt text for images automatically. It helps boost accessibility and SEO for your visual content.

Bannerbear

Api Key

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.

FAQ

Frequently asked questions

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.

Yes, you can. LangChain 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.

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.

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.

Start with Miro.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Miro tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Miro MCP with LangChain

Connect Miro without auth hassles

Introduction

Also integrate Miro with

TL;DR

What is LangChain?

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

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Initialize Composio client

Create a Tool Router session

Configure the agent with the MCP URL

Set up interactive chat interface

Run the application

Complete Code

Conclusion

Supported Tools

How to build Miro MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Figma

Abyssale

Alttext ai

Bannerbear

Frequently asked questions

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

Can I use Tool Router MCP with LangChain?+

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

How safe is my data with Composio Tool Router?+

Start with Miro.It takes 30 seconds.

Teams ship real agents on Composio