Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Security-hardened Excalidraw MCP server with auth, rate limiting, and 14 tools
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": [
"-y",
"excalidraw-mcp-server"
]
}
}
}Run this in your terminal
claude mcp add excalidraw -- npx -y excalidraw-mcp-serverPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": [
"-y",
"excalidraw-mcp-server"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"excalidraw": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"excalidraw-mcp-server"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account debu-sinha, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 9 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, SwarmMemo
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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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
EXCALIDRAW_API_KEY= npm run 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": " ", "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": " ", "CANVAS_SERVER_URL": "http://127.0.0.1:3000" } to the config above. Replace with the key from node scripts/generate-api-key.cjs.
# Install dependencies
npm ci
npm run dev
npm test
npm run test:coverage
npm run lint
npm run type-check
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.
MIT