How to integrate Canva MCP with LangChain

This guide walks you through connecting Canva to LangChain using the Composio tool router. By the end, you'll have a working Canva agent that can create a new instagram post design, list your brand templates for social use, start a folder for this project’s assets through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Canva account through Composio's Canva MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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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.

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Introduction

This guide walks you through connecting Canva to LangChain using the Composio tool router. By the end, you'll have a working Canva agent that can create a new instagram post design, list your brand templates for social use, start a folder for this project’s assets through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Canva account through Composio's Canva MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Canva project to Composio
  • Create a Tool Router MCP session for Canva
  • Initialize an MCP client and retrieve Canva tools
  • Build a LangChain agent that can interact with Canva
  • 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 Canva MCP server, and what's possible with it?

The Canva MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Canva account. It provides structured and secure access to your Canva designs, templates, folders, assets, and user details, so your agent can create designs, organize projects, manage assets, and collaborate on feedback for you.

  • Automated design creation and asset integration: Direct your agent to generate new Canva designs using templates or custom dimensions, and add assets from your projects automatically.
  • Seamless folder and project organization: Have the agent create user or subfolders to keep your Canva projects structured and easily accessible.
  • Asset management and cleanup: Let your agent fetch upload statuses, manage, or delete assets by ID, helping you keep your design library up to date.
  • Collaborative design feedback: Empower your agent to add comments or reply within designs, making it easy to facilitate feedback and teamwork directly in Canva.
  • User and team information retrieval: Quickly obtain user or team details, allowing your agent to personalize interactions and automate workflows based on your Canva account info.

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:

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

Step-by-step Guide

Step by step10 STEPS
1

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
2

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.
3

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
4

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
5

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 Canva functionality through MCP
6

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 Canva tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

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

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Canva 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 Canva tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "canva-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 Canva MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Canva tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

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 Canva 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
10

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 Canva 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: ['canva']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "canva-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 Canva 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 Canva 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 Canva action and event your agent gets out of the box.

Access user specific brand templates list

Lists brand templates available to the user (Canva Enterprise only).

Create Asset Upload Job

Uploads an asset file to the user's Canva content library.

Create comment reply in design

This preview API allows replying to comments within a design on Canva, with a limit of 100 replies per comment.

Create design comment in preview api

Creates a new comment thread on a Canva design.

Create Design Import Job

Imports an external file as a new Canva design.

Create Design Resize Job

Creates a resized copy of an existing design (Canva Pro/Enterprise only).

Create URL Asset Upload Job

Tool to create an asynchronous Canva asset import job from a public URL.

Delete asset by id

You can delete an asset by specifying its `assetId`.

Exchange oauth 2 0 access or refresh token

The OAuth 2.

Fetch asset upload job status

Polls for asset upload job completion status.

Fetch canva connect signing public keys

The API for verifying Canva webhooks, 'connect/keys,' is in preview, meaning unstable, not for public integrations, and provides a rotating JWK for signature verification to prevent replay attacks.

Fetch current user details

Returns the User ID, Team ID, and display name of the user account associated with the provided access token.

Fetch design metadata and access information

Gets the metadata for a design.

Get design comment thread replies

Retrieves a list of replies for a comment or suggestion thread on a design.

Get specific design comment reply

Retrieves a specific reply to a comment or suggestion thread on a design.

Get design export job result

Polls for design export job completion status.

Get designs designid comments threadid

Retrieves metadata for a comment or suggestion thread on a design.

Get design export formats

Lists available file formats for exporting a design.

Get URL asset upload job status

Tool to retrieve the status and result of a URL-based asset upload job.

Get URL import job status

Polls for URL import job completion status.

Get user capabilities

Lists the API capabilities for the user account associated with the provided access token.

Initiate canva design autofill job

Upcoming brand template ID updates require migration within 6 months.

List design pages with pagination

Preview API for Canva: subject to unannounced changes and not for public integrations.

List folder items by type with sorting

Lists the items in a folder, including each item's `type`.

List User Designs

Provides a summary of Canva user designs, includes search filtering, and allows showing both self-created and shared designs with sorting options.

Move item to specified folder

Transfers an item to a different folder by specifying both the destination folder's ID and the item's ID.

Create new Canva design

Creates a new Canva design with preset type or custom dimensions.

Post designs designid comments

Creates a comment thread on a Canva design.

Create reply to comment thread

Tool to create a reply to a comment or suggestion thread on a Canva design.

Start design export job

Starts a new asynchronous job to export a Canva design file.

Create folder

Tool to create a folder in Canva.

Create URL Import Job

Tool to start an asynchronous job to import an external file from a URL as a new design in Canva.

Remove folder and move contents to trash

Deletes a folder by moving the user's content to Trash and reassigning other users' content to their top-level projects.

Retrieve app public key set

Returns the Json Web Key Set (public keys) of an app.

Retrieve asset metadata by id

You can retrieve the metadata of an asset by specifying its `assetId`.

Retrieve brand template dataset definition

Canva's brand template IDs will change later this year, including a 6-month integration migration.

Retrieve canva enterprise brand template metadata

Upcoming update will change brand template IDs; integrations must migrate within 6 months.

Retrieve design autofill job status

API users with Canva Enterprise membership can retrieve design autofill job results, potentially requiring multiple requests until a `success` or `failed` status is received.

Retrieve design import job status

Polls for design import job completion status.

Retrieve Design Resize Job Status

Retrieves the status and results of a design resize job.

Retrieve folder details by id

Gets the name and other details of a folder using a folder's `folderID`.

Retrieveuserprofiledata

Currently, this returns the display name of the user account associated with the provided access token.

Revoke oauth tokens

Revoke a refresh token to end its lineage and user consent, requiring re-authentication.

Update asset s name and tags by id

You can update the name and tags of an asset by specifying its `assetId`.

Update folder details by id

Updates a folder's details using its `folderID`.

Validate oauth token properties

Check an access token's validity and properties via introspection, requiring authentication.

FRAMEWORKS

How to build Canva MCP Agent with another framework

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ChatGPT

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Claude Agent SDK logo

Claude Agent SDK

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Claude Code logo

Claude Code

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Claude Cowork logo

Claude Cowork

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Codex logo

Codex

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Cursor logo

Cursor

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OpenClaw logo

OpenClaw

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Hermes logo

Hermes

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CLI logo

CLI

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Google ADK logo

Google ADK

Use Canva MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Canva MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Canva MCP with Mastra AI

LlamaIndex logo

LlamaIndex

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CrewAI logo

CrewAI

Use Canva MCP with CrewAI

OpenCode logo

OpenCode

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VS Code logo

VS Code

Use Canva MCP with VS Code

FAQ

Frequently asked questions

With a standalone Canva MCP server, the agents and LLMs can only access a fixed set of Canva tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Canva 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 Canva tools.

Yes, absolutely. You can configure which Canva 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 Canva data and credentials are handled as safely as possible.

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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.

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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
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
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
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.

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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.

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Co-Founder, Ingram Technologies