Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Excalidraw

by debu-sinhaversion 1.0.2i★ –iRuns on your computer
Registry nameio.github.debu-sinha/excalidraw

Install

Overview

Description from the maker (original English)

Security-hardened Excalidraw MCP server with auth, rate limiting, and 14 tools

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

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-server

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account debu-sinha, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32709 servers in this category
  • Published to the registry more recently than 2% of the other 32709 servers in this category
  • Basic checks equal to or better than 100% of the other 32709 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Excalidraw safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SwarmMemo

Alternatives

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

SwarmMemo

by Hugo0

Talk with agent swarms: rooms, private messages and paid tasks for AI agents

Runs in the cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

excalidraw-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_me tool

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= 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": " ", "CANVAS_SERVER_URL": "http://127.0.0.1:3000" } } } }

MCP tools

ToolDescription
create_viewRender elements as an inline SVG widget with streaming animations (MCP Apps)
read_meGet the element reference cheatsheet (types, colors, sizing tips)
create_elementCreate a single element (rectangle, ellipse, diamond, arrow, text, line, freedraw)
update_elementUpdate an existing element by ID
delete_elementDelete an element by ID
query_elementsSearch elements by type, locked status, or group ID
get_resourceGet scene state, all elements, theme, or library
batch_create_elementsCreate up to 100 elements in one call
group_elementsGroup multiple elements together
ungroup_elementsRemove elements from a group
align_elementsAlign elements (left, center, right, top, middle, bottom)
distribute_elementsDistribute elements evenly (horizontal or vertical)
lock_elementsLock elements to prevent modification
unlock_elementsUnlock elements
create_from_mermaidConvert a Mermaid diagram to Excalidraw elements
export_sceneExport the canvas as SVG or PNG

Security comparison

FeatureTypical MCP serversexcalidraw-mcp-server
AuthenticationNoneAPI key (constant-time compare)
CORS* wildcardOrigin allowlist
WebSocket authNoneToken + origin validation
Rate limitingNoneStandard + strict tiers
Input validationMinimalBounded Zod with .strict()
Security headersNoneHelmet.js + CSP
Request size limitNone512KB body, 1MB WebSocket
Audit loggingNoneStructured pino logs

Configuration

All settings via environment variables. Copy .env.example to .env and adjust as needed.

VariableDefaultDescription
STANDALONE_MODEtrueUse in-process store (no canvas server needed)
CANVAS_HOST127.0.0.1Canvas server bind address
CANVAS_PORT3000Canvas server port
EXCALIDRAW_API_KEYAuto-generatedAPI key for auth (min 32 chars)
CORS_ALLOWED_ORIGINShttp://localhost:3000,http://127.0.0.1:3000Comma-separated origin allowlist
RATE_LIMIT_WINDOW_MS60000Rate limit window in milliseconds
RATE_LIMIT_MAX_REQUESTS100Max requests per window (standard tier)
PERSISTENCE_ENABLEDfalseEnable file-based persistence
PERSISTENCE_DIR./dataDirectory for persistent storage
CANVAS_SERVER_URLhttp://127.0.0.1:3000URL the MCP server uses to reach the canvas
LOG_LEVELinfoLog level: debug, info, warn, error
AUDIT_LOG_ENABLEDtrueEnable audit logging
MAX_ELEMENTS10000Maximum elements on canvas
MAX_BATCH_SIZE100Maximum 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": " ", "CANVAS_SERVER_URL": "http://127.0.0.1:3000" } to the config above. Replace 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

MIT

Ask PopNx