How to integrate Canva MCP with Pydantic AI

This guide walks you through connecting Canva to Pydantic AI 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 Pydantic AI 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 Pydantic AI 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 Pydantic AI 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:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Canva
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Canva workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active 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

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Canva
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Canva
  • MCPServerStreamableHTTP connects to the Canva MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Canva
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["canva"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
canva_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[canva_mcp],
    instructions=(
        "You are a Canva assistant. Use Canva tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Canva endpoint
  • The agent uses GPT-5 to interpret user commands and perform Canva operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Canva.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Canva API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Canva
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["canva"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    canva_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[canva_mcp],
        instructions=(
            "You are a Canva assistant. Use Canva tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Canva.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Canva through Composio's Tool Router. With this setup, your agent can perform real Canva actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Canva for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
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. Pydantic 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 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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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.

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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