How to integrate Canva MCP with Autogen

This guide walks you through connecting Canva to AutoGen 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 AutoGen 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.

46 Tools

Introduction

This guide walks you through connecting Canva to AutoGen 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 AutoGen 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.

Also integrate Canva with

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

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Canva
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Canva tools
  • Run a live chat loop where you ask the agent to perform Canva operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Canva account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Canva via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Canva connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Canva session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["canva"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Canva tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Canva assistant agent with MCP tools
    agent = AssistantAgent(
        name="canva_assistant",
        description="An AI assistant that helps with Canva operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Canva tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Canva related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Canva tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Canva and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Canva session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["canva"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Canva assistant agent with MCP tools
        agent = AssistantAgent(
            name="canva_assistant",
            description="An AI assistant that helps with Canva operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

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

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Canva through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Canva, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
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

ChatGPT logo

ChatGPT

Use Canva MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Canva MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Canva MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Canva MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Canva MCP with Claude Cowork

Codex logo

Codex

Use Canva MCP with Codex

Cursor logo

Cursor

Use Canva MCP with Cursor

OpenClaw logo

OpenClaw

Use Canva MCP with OpenClaw

Hermes logo

Hermes

Use Canva MCP with Hermes

CLI logo

CLI

Use Canva MCP with CLI

Google ADK logo

Google ADK

Use Canva MCP with Google ADK

LangChain logo

LangChain

Use Canva MCP with LangChain

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

Use Canva MCP with LlamaIndex

CrewAI logo

CrewAI

Use Canva MCP with CrewAI

OpenCode logo

OpenCode

Use Canva MCP with OpenCode

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. Autogen 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.

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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.

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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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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