Canva MCP Server
Enables AI assistants to interact with the Canva Connect REST API, supporting design creation, brand template autofill, asset uploads, folder management, and design exports to PDF, PNG, JPG, PPTX, and MP4.
README
Canva MCP Server (Vercel Serverless)
A production-ready Model Context Protocol (MCP) Server for Canva Connect REST API, optimized for 1-Click Deployment on Vercel and direct integration with Spark Gemini, Claude Desktop, and Cursor IDE.
🌟 Highlights
- Serverless & Ultra-Fast: Built on Next.js App Router Node.js runtime with 60s execution limit for handling async export jobs.
- 20+ Canva Tools: Covers design creation, brand template autofill, asset uploads, folder management, and format export (PDF, PNG, JPG, PPTX, MP4).
- Stateless Authentication: Uses
CANVA_ACCESS_TOKENvia Bearer auth headers without any external database dependencies. - MCP Spec Compliant: Fully supports protocol version
2024-11-05JSON-RPC over HTTP with open CORS for remote clients.
🚀 1-Click Deploy to Vercel
- Push this repository to your GitHub account (
vuthiet2k/canva-mcp-vercel). - Go to Vercel Dashboard and Import
canva-mcp-vercel. - Add Environment Variables:
CANVA_ACCESS_TOKEN: Your Canva Connect API Personal Access Token or OAuth Token from Canva Developers.CANVA_API_URL:https://api.canva.com/rest/v1(default).
- Click Deploy.
⚙️ Connecting to Spark Gemini
In your Spark Gemini MCP Configuration, add the server entry:
{
"mcpServers": {
"canva": {
"url": "https://canva-mcp-vercel.vercel.app/api/mcp",
"transport": "http",
"headers": {
"Content-Type": "application/json"
}
}
}
}
🛠️ List of Provided Tools (24 Tools)
| Tool Name | Description |
|---|---|
canva_create_design |
Create a design by preset or custom dimensions |
canva_get_design |
Get design metadata and URLs |
canva_search_designs |
Search and list user designs |
canva_get_design_pages |
Get slide pages and thumbnails |
canva_resize_design |
Resize a design |
canva_search_brand_templates |
Find autofill-capable brand templates |
canva_get_brand_template |
Get brand template details |
canva_get_brand_template_dataset |
Retrieve dataset schema |
canva_autofill_design |
Generate new design by autofilling data into template |
canva_upload_asset_from_url |
Upload an image/video asset from public URL |
canva_get_asset |
Fetch asset metadata |
canva_delete_asset |
Remove asset from Canva library |
canva_list_brand_kits |
List Brand Kits (colors, fonts, logos) |
canva_create_folder |
Create a folder |
canva_list_folder_items |
List items inside a folder |
canva_search_folders |
Search folders by keyword |
canva_move_item_to_folder |
Move design or folder |
canva_get_export_formats |
Get available export formats |
canva_create_export_job |
Export design to PDF, PNG, JPG, PPTX, MP4 |
canva_get_export_job |
Check export status and get download link |
canva_get_user_profile |
Get current authenticated user profile |
canva_list_comments |
List design comments |
canva_comment_on_design |
Add comment on design |
canva_reply_to_comment |
Reply to design comment |
📄 License
MIT License © 2026 Hoàng Vũ Thiết
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。