Canva
OrganizationPopularCanva MCP server. Create designs, access brand kits, and export assets via Canva Connect API. Automate design workflows from AI clients.
| Publisher | canva |
| Repository | canva-mcp |
| Language | TypeScript |
| Forks | 0 |
| Stars | 4.7K |
| Available tools | 16 |
| Transport type | stdio |
| Categories | |
| License | MIT |
| Links |
- Connect tools to AI workflows
Canva exposes MCP capabilities that can be used by compatible AI clients and agents.
- 16 available tools
Browse the callable actions below, including names and descriptions when provided by the server.
- Ready-to-copy setup
Use the installation snippets to configure this server in your preferred MCP client.
- Open source signals
4.7K stars and 0 forks from the linked repository.
Installation
Node.js 18+
{
"mcpServers": {
"canva": {
"command": "npx",
"args": [
"-y",
"@canva/mcp-server"
],
"env": {
"CANVA_API_TOKEN": "<YOUR_TOKEN>"
}
}
}
}Available Tools
- list_designs
Get a list of designs from the user's Canva account with pagination and filtering options
- create_design
Create a new design using a specified template or from scratch with custom dimensions
- get_design
Retrieve detailed information about a specific design including elements and properties
- update_design
Update design properties such as title, elements, text content, or images
- delete_design
Delete a specific design from the user's Canva account
- search_templates
Search for design templates by category, keywords, or design type
- list_brand_kits
Get available brand kits including colors, fonts, and logos for the user's account
- apply_brand_kit
Apply brand kit elements like colors, fonts, and logos to an existing design
- export_design
Export a design in various formats (PNG, JPG, PDF, MP4) with quality and size options
- get_export_status
Check the status of an ongoing design export operation
- upload_image
Upload an image to Canva's media library for use in designs
- search_media
Search for stock photos, videos, graphics, and other media elements in Canva's library
- add_text_element
Add text elements to a design with specified content, positioning, and styling
- add_image_element
Add image elements to a design with positioning and transformation options
- list_folders
Get folders in the user's Canva account for organizing designs
- move_design_to_folder
Move a design to a specific folder for organization
Use Canva MCP with multiple AI models
TypingMind connects MCP tools at the workspace level, so once Canva is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.
Setup guide to use the local connector
Use this when the MCP server needs access to local files, apps, or private resources on your computer.
Open the MCP settings
In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.
- Open TypingMind in your browser.
- Click the Settings icon.
- Go to Advanced Settings.
- Open the Model Context Protocol section.
- Click Setup Connector and choose This Device.
Run the connector command
Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.
- Copy the setup command shown by TypingMind.
- Open Terminal on macOS or Windows Terminal on Windows.
- Paste and run the command.
- Approve the package install if Terminal asks you to proceed.
- Keep the Terminal window running while using MCP tools.
Add Canva as a server
When the connector status is Ready, click Edit Servers and paste the MCP server configuration.
- Wait until the connector status shows Ready.
- Click Edit Servers.
- Paste the Canva MCP server configuration.
- Save the server list.
- Refresh if you want to confirm the connector is still ready.
{
"mcpServers": {
"canva": {
"command": "npx",
"args": [
"-y",
"@canva/mcp-server"
]
}
}
}Use it across models
Save the server list, open Plugins, enable the Canva MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.
- Open the Plugins page in TypingMind.
- Enable the Canva MCP tools.
- Start a chat and choose the AI model you want to use.
- Use the MCP tools in chat or assign them to an AI agent.
- Switch to another AI model whenever needed without reconnecting MCP.
Here is what I found using Canva.
Frequently asked questions
What is the Canva MCP server used for?
Canva is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.
Can I use Canva MCP with multiple AI models in TypingMind?
Yes. TypingMind connects MCP tools at the workspace level, so you can use Canva with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.
Why use Canva MCP with TypingMind?
TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Canva connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.
How do I connect Canva MCP to TypingMind?
Canva runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.
What tools does Canva MCP provide in TypingMind?
Canva exposes 16 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.
Do I need to share my API keys with TypingMind to use Canva MCP?
No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Canva requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.
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