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Security-hardened Excalidraw MCP server with auth, rate limiting, and 14 tools
Security-hardened Excalidraw MCP server with auth, rate limiting, and 14 tools
Valid MCP server (3 strong, 4 medium validity signals). 1 known CVE in dependencies Package registry verified. Imported from the Official MCP Registry.
5 files analyzed · 2 issues found
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-debu-sinha-excalidraw": {
"args": [
"-y",
"excalidraw-mcp-server"
],
"command": "npx"
}
}
}From the project's GitHub README.
The only Excalidraw MCP server with security hardening, inline diagram rendering, and real-time canvas sync.
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.
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.
Diagram created with excalidraw-mcp-server -- edit in Excalidraw
MCP Apps (v2.0)
read_me tool16 MCP tools
Security
.strict() on every endpointInfrastructure
npm install -g excalidraw-mcp-server
Or run directly:
npx excalidraw-mcp-server
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"
# 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"
}
}
}
}
| 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 |
| 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 |
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 |
Add to claude_desktop_config.json:
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": ["excalidraw-mcp-server"]
}
}
}
Add to .cursor/mcp.json in your project root:
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": ["excalidraw-mcp-server"]
}
}
}
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.
# 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
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)
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.
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