About excalidraw
excalidraw is an MCP server that lets AI clients create and edit Excalidraw diagrams, with inline rendering and optional live canvas synchronization. It combines diagram tools with authentication, input validation, and rate limiting.
Key features
- 01Create and edit diagram elements
- 02Convert Mermaid diagrams to Excalidraw
- 03Render diagrams inline as animated SVG
- 04Export scenes as SVG or PNG
- 05Synchronize clients through a canvas server
- 06Authenticate and limit requests
Use cases
- 01Create architecture diagrams from chat
- 02Edit and arrange elements on a canvas
- 03Collaborate on a shared live canvas
- 04Export diagrams for use elsewhere
MCP support
The server exposes diagram creation, editing, querying, grouping, export, and resource tools to MCP clients. It supports stdio and can connect to an optional canvas server for real-time synchronization.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
14Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| x | number | Yes | |
| y | any | Yes | |
| text | string | No | |
| type | enum | Yes | rectangle | ellipse | diamond | arrow | text | line | freedraw |
| angle | number | No | |
| width | number | No | |
| height | any | No | |
| locked | boolean | No | |
| points | array | No | |
| opacity | number | No | |
| fontSize | number | No | |
| groupIds | array | No | |
| roughness | number | No | |
| fontFamily | integer | No | |
| strokeColor | any | No | |
| strokeWidth | number | No | |
| backgroundColor | string | No |
Details
From the project READMEexcalidraw-mcp-server
The only Excalidraw MCP server with security hardening, inline diagram rendering, and real-time canvas sync.
What it does
Ask your AI to draw a diagram, and it appears right inside the chat. The MCP server gives Claude Desktop, ChatGPT, VS Code, and Cursor a full set of drawing tools backed by the Excalidraw format -- with API authentication, rate limiting, and input validation on every operation.
v2.0 adds MCP Apps support: diagrams stream inline as interactive SVG widgets with draw-on animations, and you can export any diagram to excalidraw.com with one click.
Two modes, zero config
Standalone mode (default) -- just install and go. The server runs with an in-process element store. No canvas server, no API keys, no setup. Your MCP client calls the tools, and diagrams render inline.
Connected mode -- start the optional canvas server for real-time browser sync. Multiple clients can collaborate on the same canvas through authenticated WebSocket connections. File persistence keeps state across restarts.
The server auto-detects which mode to use: if a canvas server is reachable, it connects to it. Otherwise it falls back to standalone.
Architecture
Diagram created with excalidraw-mcp-server -- edit in Excalidraw
Features
MCP Apps (v2.0)
- Inline diagram rendering in Claude Desktop, ChatGPT, and VS Code
- Streaming SVG with draw-on animations as elements arrive
- Export to excalidraw.com with one click
- Element reference cheatsheet via
read_metool
16 MCP tools
- Create, update, delete, and query elements (rectangle, ellipse, diamond, arrow, text, line, freedraw)
- Batch create up to 100 elements at once
- Group, ungroup, align, distribute, lock, unlock
- Mermaid diagram conversion
- SVG and PNG export
Security
- API key authentication with constant-time comparison
- Origin-restricted CORS (no wildcards)
- WebSocket auth with token and origin validation
- Standard and strict rate limiting tiers
- Bounded Zod schemas with
.strict()on every endpoint - Helmet.js security headers with CSP
Infrastructure
- Real-time WebSocket sync across browser clients
- Optional atomic-write file persistence
- Structured pino audit logging
Install
npm install -g excalidraw-mcp-server
Or run directly:
npx excalidraw-mcp-server
Quick start
Standalone (recommended for most users)
Just point your MCP client at the server. No canvas server needed.
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": ["excalidraw-mcp-server"]
}
}
}
Then ask your AI: "Draw an architecture diagram showing a load balancer, three app servers, and a database"
Connected mode (real-time browser sync)
# Generate an API key
node scripts/generate-api-key.cjs
# Start the canvas server
EXCALIDRAW_API_KEY=<your-key> npm run canvas
# Open http://localhost:3000 to see the live canvas
Point your MCP client at the server with the same API key:
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": ["excalidraw-mcp-server"],
"env": {
"EXCALIDRAW_API_KEY": "<your-key>",
"CANVAS_SERVER_URL": "http://127.0.0.1:3000"
}
}
}
}
MCP tools
| Tool | Description |
|---|---|
create_view | Render elements as an inline SVG widget with streaming animations (MCP Apps) |
read_me | Get the element reference cheatsheet (types, colors, sizing tips) |
create_element | Create a single element (rectangle, ellipse, diamond, arrow, text, line, freedraw) |
update_element | Update an existing element by ID |
delete_element | Delete an element by ID |
query_elements | Search elements by type, locked status, or group ID |
get_resource | Get scene state, all elements, theme, or library |
batch_create_elements | Create up to 100 elements in one call |
group_elements | Group multiple elements together |
ungroup_elements | Remove elements from a group |
align_elements | Align elements (left, center, right, top, middle, bottom) |
distribute_elements | Distribute elements evenly (horizontal or vertical) |
lock_elements | Lock elements to prevent modification |
unlock_elements | Unlock elements |
create_from_mermaid | Convert a Mermaid diagram to Excalidraw elements |
export_scene | Export the canvas as SVG or PNG |
Security comparison
| Feature | Typical MCP servers | excalidraw-mcp-server |
|---|---|---|
| Authentication | None | API key (constant-time compare) |
| CORS | * wildcard | Origin allowlist |
| WebSocket auth | None | Token + origin validation |
| Rate limiting | None | Standard + strict tiers |
| Input validation | Minimal | Bounded Zod with .strict() |
| Security headers | None | Helmet.js + CSP |
| Request size limit | None | 512KB body, 1MB WebSocket |
| Audit logging | None | Structured pino logs |
Configuration
All settings via environment variables. Copy .env.example to .env and adjust as needed.
| Variable | Default | Description |
|---|---|---|
STANDALONE_MODE | true | Use in-process store (no canvas server needed) |
CANVAS_HOST | 127.0.0.1 | Canvas server bind address |
CANVAS_PORT | 3000 | Canvas server port |
EXCALIDRAW_API_KEY | Auto-generated | API key for auth (min 32 chars) |
CORS_ALLOWED_ORIGINS | http://localhost:3000,http://127.0.0.1:3000 | Comma-separated origin allowlist |
RATE_LIMIT_WINDOW_MS | 60000 | Rate limit window in milliseconds |
RATE_LIMIT_MAX_REQUESTS | 100 | Max requests per window (standard tier) |
PERSISTENCE_ENABLED | false | Enable file-based persistence |
PERSISTENCE_DIR | ./data | Directory for persistent storage |
CANVAS_SERVER_URL | http://127.0.0.1:3000 | URL the MCP server uses to reach the canvas |
LOG_LEVEL | info | Log level: debug, info, warn, error |
AUDIT_LOG_ENABLED | true | Enable audit logging |
MAX_ELEMENTS | 10000 | Maximum elements on canvas |
MAX_BATCH_SIZE | 100 | Maximum elements per batch create |
MCP client configuration
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": ["excalidraw-mcp-server"]
}
}
}
Cursor
Add to .cursor/mcp.json in your project root:
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": ["excalidraw-mcp-server"]
}
}
}
VS Code
Add to your MCP settings:
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": ["excalidraw-mcp-server"]
}
}
}
For connected mode, add "env": { "EXCALIDRAW_API_KEY": "<key>", "CANVAS_SERVER_URL": "http://127.0.0.1:3000" } to the config above. Replace <key> with the key from node scripts/generate-api-key.cjs.
Development
# Install dependencies
npm ci
# Run in development mode (watch + Vite dev server)
npm run dev
# Run tests
npm test
# Run tests with coverage
npm run test:coverage
# Lint
npm run lint
# Type check
npm run type-check
# Build (server + widget + frontend)
npm run build
Project structure
src/
mcp/ MCP server (stdio transport)
tools/ 16 tool implementations
apps/ MCP Apps wiring, standalone store, cheatsheet
schemas/ Zod schemas and input limits
canvas-client.ts HTTP client for canvas server
index.ts MCP server entry point
canvas/ Canvas server (Express + WebSocket)
middleware/ Auth, CORS, rate limiting, audit, security headers
routes/ REST API routes + SVG export
ws/ WebSocket handler and protocol
store/ Element storage (memory + file)
index.ts Canvas server entry point
shared/ Shared config, types, logging
widget/ MCP Apps inline widget (Vite + singlefile build)
frontend/ Excalidraw React frontend (browser)
test/ Unit and integration tests (290 tests)
Migrating from v1.x
Zero-config upgrade. All 14 original tools work identically -- create_view and read_me are additive. The canvas server is now optional (standalone mode activates automatically).
npm install -g excalidraw-mcp-server@2
Existing MCP client configs (stdio transport, tool names) continue to work without changes.
License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.