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Canva MCP

Create, edit, and export Canva designs from Claude and other AI agents

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Maintenance status

Repository link unavailable
Checked September 28, 2026

The GitHub link we had for this server no longer resolves.

How to Install Canva MCP

$npx -y @canva/mcp-server

Compatible with: All Models.

Setup by client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "canva-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@canva/mcp-server"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "canva-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@canva/mcp-server"
      ]
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "canva-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@canva/mcp-server"
      ]
    }
  }
}

Claude Code (terminal)

claude mcp add canva-mcp -- npx -y @canva/mcp-server

Add any API keys or environment variables the server's README lists.

About Canva MCP

The official Canva MCP server lets AI agents create new Canva designs, edit existing ones, apply templates, insert brand assets, and export finished graphics, all without opening the Canva web app. Agents can generate social media graphics, presentations, or marketing materials from a prompt, then export them as PNG, PDF, or MP4. It connects to your Canva account via OAuth and respects all brand kit and folder permissions set in your workspace. For design-to-code work, the Figma MCP setup reads component and layout context from your files.

Canva MCP is a Design MCP server designed for developers and AI power users. It enables extending AI assistants with real-world capabilities by exposing a structured set of tools over the Model Context Protocol. Key capabilities include standards-based mcp server interface, works with claude, gpt, gemini, and other mcp clients, tool discovery and structured outputs, and structured tool calls that work cleanly inside an LLM context. It integrates with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client, and is best suited for developers and AI power users who need ai engineers wiring assistants into real tools.

Key Features

  • design
  • canva
  • graphics
  • templates
  • social-media

Pricing

Freemium: from Free

Pros & Cons

Pros

  • Drop-in support across MCP-compatible AI clients
  • Reduces prompt boilerplate by exposing concrete tool calls
  • Active community and ongoing updates

Cons

  • Requires an MCP-capable client to use
  • Initial setup can require configuration
  • Capability surface depends on what the underlying service exposes

Best For

  • AI engineers wiring assistants into real tools
  • Teams adopting MCP as an integration standard
  • Power users who want more than chat

Our Take on Canva MCP

The fastest way to produce designed assets from a prompt: essential for content creators and marketers using AI.

Frequently Asked Questions

Tags

#design#canva#graphics#templates#social-media#marketing