draw2agent
Enables drawing annotations directly on local web pages and sending screenshots, DOM data, and annotation context to your IDE agent for precise code edits.
README
draw2agent ✏️
Draw on your website. Your AI agent sees it.
draw2agent is an MCP server that lets you draw annotations directly on top of your local dev page. When you submit, your IDE agent receives a screenshot, structured DOM data, and annotation context to make precise code edits.
👉 Try it out at: draw2agent.vercel.app
Demo
Quick Start
1. Add to your IDE (one-time)
Cursor (~/.cursor/mcp.json):
{
"mcpServers": {
"draw2agent": {
"command": "npx",
"args": ["-y", "draw2agent@latest"]
}
}
}
2. Use it
Tell your agent:
"Use draw2agent to fix the navbar"
- 🌐 Agent opens your browser with drawing tools on your page
- ✏️ Draw circles, arrows, text directly on your website
- 📸 Click Submit
- 🤖 Agent reads the visual context and applies code changes
How It Works
Your Dev Page (proxied)
├── Your original page content
└── Excalidraw overlay (transparent, on top)
├── Draw mode: annotate directly on the page
├── Select mode: interact with the page normally (Esc)
└── Submit: screenshot + DOM + annotations → agent
Tools
The MCP server exposes the following tools:
| Tool | Description |
|---|---|
launch_canvas |
Opens your dev page with the drawing overlay |
launch_ipad_canvas |
Serves the page on your LAN and returns a QR code for drawing from iPad/mobile |
launch_scratch |
Opens a standalone Excalidraw whiteboard for freehand sketching |
get_drawing_state |
Returns screenshot, DOM nodes, and annotations for the current state |
launch_canvas
The core tool — proxies your localhost dev server and injects an Excalidraw overlay. Draw annotations directly on your running app, then submit to send visual context to your agent. The tool blocks until you submit.
launch_ipad_canvas
Same as launch_canvas, but serves the proxy on your computer's local network (LAN) address. Automatically opens a new browser tab on your computer with a QR code. Scan it from your iPad or phone — connected to the same Wi-Fi network — to draw annotations with touch. Perfect for whiteboard-style feedback sessions. No internet tunnel required, so it's fast and reliable.
launch_scratch
Opens a blank Excalidraw whiteboard — no target URL needed. Sketch UI mockups, wireframes, or diagrams from scratch. Your agent receives the drawing and implements the design.
get_drawing_state
Returns the last captured drawing state (screenshot, DOM nodes, annotations) without launching a new session. Useful for re-fetching context.
Releasing
Publishing to npm is automated via GitHub Actions (.github/workflows/publish.yml).
To cut a release, just bump the version and push to main:
npm version patch # or minor / major — updates package.json
git push origin main
When package.json's version changes on main, the workflow builds the
server + overlay and publishes the new version to npm. You can also trigger it
manually from the Actions tab (e.g. to publish the current version).
One-time setup: npm Trusted Publishing
The workflow authenticates with npm via OIDC — no NPM_TOKEN secret needed.
Configure the trusted publisher once:
- Go to npmjs.com/package/draw2agent → Settings → Trusted Publisher.
- Choose GitHub Actions and enter:
- Organization or user:
zero-abd - Repository:
draw2agent - Workflow filename:
publish.yml
- Organization or user:
- Save.
This also satisfies npm's 2FA requirement, so publishing works even with
account 2FA enabled. (Alternative: create an npm Granular Access Token with
publish rights, add it as the NPM_TOKEN repo secret, and set
NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }} on the publish step instead.)
License
MIT
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。
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。
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。
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。
