tldraw-mcp
A minimal MCP server for AI-driven canvas manipulation and visualization using tldraw. It enables AI clients to programmatically create, update, and manage shapes, flowcharts, and frames on a live interactive canvas.
README
tldraw-mcp
Minimal MCP server for AI-driven canvas manipulation with tldraw.
Architecture
┌─────────────┐ stdio ┌─────────────┐ WebSocket ┌─────────────┐
│ AI Client │◄──────────────►│ tldraw-mcp │◄───────────────►│ Widget │
│ (Claude,etc)│ │ (server) │ :4000 │ (tldraw) │
└─────────────┘ └─────────────┘ └─────────────┘
:3000
Tools
| Tool | Description |
|---|---|
create_shape |
Create shapes (rectangle, ellipse, star, cloud, diamond, etc.) |
update_shape |
Update shape properties (position, size, color, fill) |
delete_shapes |
Delete shapes by ID |
connect_shapes |
Connect two shapes with an arrow |
create_frame |
Create a frame to group shapes together |
create_flowchart |
Create a flowchart with nodes and edges (auto-layout) |
get_snapshot |
Get current canvas state |
zoom_to_fit |
Zoom canvas to fit all shapes |
clear_canvas |
Clear all shapes |
Quick Start
# 1. Clone and install
git clone https://github.com/dpunj/tldraw-mcp
cd tldraw-mcp
bun install
# 2. Start the widget (tldraw canvas + WebSocket server)
cd widget
bun install
bun run dev
# Opens http://localhost:3000 (canvas) + ws://localhost:4000 (relay)
# 3. In another terminal, test the MCP server
cd ..
bun run dev
Claude Desktop Config
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"tldraw": {
"command": "bun",
"args": ["run", "/path/to/tldraw-mcp/src/index.ts"]
}
}
}
Environment Variables
| Variable | Default | Description |
|---|---|---|
TLDRAW_WS_URL |
ws://localhost:4000 |
Widget WebSocket URL |
WS_PORT |
4000 |
Widget WS server port |
Development
# MCP server
bun run dev # Run server
bun run build # Build for distribution
bun run check # TypeScript check
# Widget
cd widget
bun run dev # Start vite + WS server
License
MIT
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