Excalidraw MCP Server▌
by Scofieldfree
Excalidraw MCP Server: let AI agents generate, edit, and view Excalidraw diagrams via natural-language commands with rea
Enables AI agents to programmatically generate, edit, and view Excalidraw diagrams with real-time browser synchronization. It provides a suite of tools for adding shapes, text, and arrows to diagrams through natural language interactions.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI-powered visual thinking and brainstorming
- / Creating architecture diagrams through conversation
- / Converting text descriptions to visual diagrams
- / Collaborative diagram editing with AI assistance
capabilities
- / Create and edit Excalidraw diagrams through conversation
- / Add shapes, text, arrows, and elements to diagrams
- / Convert Mermaid syntax to Excalidraw diagrams
- / Preview diagrams in real-time in browser
- / Manage multiple diagram sessions
- / Export diagrams to PNG, SVG, or JSON
what it does
Lets AI assistants create, edit, and view Excalidraw diagrams with real-time browser synchronization. Supports natural language diagram creation with automatic layout and Mermaid syntax conversion.
about
Excalidraw MCP Server is a community-built MCP server published by Scofieldfree that provides AI assistants with tools and capabilities via the Model Context Protocol. Excalidraw MCP Server: let AI agents generate, edit, and view Excalidraw diagrams via natural-language commands with rea It is categorized under developer tools, design. This server exposes 11 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Excalidraw MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Excalidraw MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Excalidraw MCP Server
An MCP (Model Context Protocol) server that empowers AI agents (like Claude, Cursor, Windsurf) to create, edit, and manage Excalidraw diagrams directly within your conversation.
<p align="center"> <img src="/images/excalidraw-mcp-architechture.png" alt="Excalidraw MCP Demo" width="700"> </p>Why Excalidraw? Its hand-drawn aesthetic and JSON-based format are perfect for rapid, programmable diagramming. This server bridges standard MCP clients with a local Excalidraw instance, enabling AI-powered visual thinking.
✨ Features
| Feature | Description |
|---|---|
| 🎨 Real-time Preview | Changes appear instantly in a local browser window via WebSocket |
| 📐 Smart Layout | Automatically calculates text width and binds labels to containers |
| 🔄 Multi-Session | Switch between different diagrams seamlessly |
| 🧜 Mermaid Support | Convert Mermaid syntax to Excalidraw diagrams instantly |
| 📦 Export Options | Export to PNG, SVG, or JSON formats |
| 🏗️ Templates | Built-in architecture diagram templates |
🚀 Quick Start
You don't need to clone this repo. Just configure your MCP client:
Claude Code (cc)
claude mcp add excalidraw -- npx -y @scofieldfree/excalidraw-mcp
Codex CLI
codex mcp add excalidraw -- npx -y @scofieldfree/excalidraw-mcp
Cursor / Windsurf
Go to Settings > MCP → Add New MCP Server:
| Field | Value |
|---|---|
| Name | excalidraw |
| Type | command |
| Command | npx -y @scofieldfree/excalidraw-mcp |
Cline (VS Code Extension)
Open Cline settings and add to MCP Servers:
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": ["-y", "@scofieldfree/excalidraw-mcp"]
}
}
}
GitHub Copilot
Use the Copilot CLI to interactively add:
/mcp add
Alternatively, create or edit ~/.copilot/mcp-config.json:
{
"mcpServers": {
"excalidraw": {
"type": "local",
"command": "npx",
"tools": ["*"],
"args": ["-y", "@scofieldfree/excalidraw-mcp"]
}
}
}
Kiro
Follow the MCP Servers documentation. Add to .kiro/settings/mcp.json:
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": ["-y", "@scofieldfree/excalidraw-mcp"]
}
}
}
opencode
opencode mcp add excalidraw -- npx -y @scofieldfree/excalidraw-mcp
VS Code
One-click install:
<img src="https://img.shields.io/badge/Install_Server-VS_Code-blue?logo=visualstudiocode" alt="Install in VS Code"> <img src="https://img.shields.io/badge/Install_Server-VS_Code_Insiders-green?logo=visualstudiocode" alt="Install in VS Code Insiders">
Or install via CLI:
# For VS Code
code --add-mcp '{"name":"excalidraw","command":"npx","args":["-y","@scofieldfree/excalidraw-mcp"]}'
# For VS Code Insiders
code-insiders --add-mcp '{"name":"excalidraw","command":"npx","args":["-y","@scofieldfree/excalidraw-mcp"]}'
Claude Desktop
Add to your claude_desktop_config.json:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"excalidraw": {
"command": "npx",
"args": ["-y", "@scofieldfree/excalidraw-mcp"]
}
}
}
🛠️ Available Tools
| Tool | Description |
|---|---|
start_session | Start browser preview and open Excalidraw editor |
add_elements | Add shapes, text, arrows to the canvas |
update_element | Modify existing element properties |
delete_element | Remove elements from canvas |
get_scene | Retrieve current diagram state |
create_from_mermaid | Convert Mermaid syntax to Excalidraw |
add_template_architecture | Add a pre-built architecture diagram template |
create_diagram | Create a new diagram or clear existing |
export_diagram | Export diagram to PNG, SVG, or JSON |
list_sessions | List all active diagram sessions |
delete_diagram | Delete a diagram session |
💬 Usage Examples
Example 1: Create a Simple Diagram
You say:
"Draw a flowchart with three boxes: Input → Process → Output"
AI uses:
start_session → add_elements (3 rectangles + 2 arrows)
Example 2: Convert Mermaid to Excalidraw
You say:
"Convert this Mermaid diagram to Excalidraw:
graph LR: A[User] --> B[API Gateway] --> C[Service] --> D[(Database)]"
AI uses:
start_session → create_from_mermaid
Example 3: Architecture Diagram
You say:
"Create an architecture diagram for a microservices system"
AI uses:
start_session → add_template_architecture (or) add_elements with custom layout
🏗️ Architecture
┌─────────────────────────────────────────────────────────────┐
│ AI Agent (Claude/Cursor) │
└─────────────────────────┬───────────────────────────────────┘
│ MCP Protocol (JSON-RPC over stdio)
▼
┌─────────────────────────────────────────────────────────────┐
│ Excalidraw MCP Server │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────┐ │
│ │ Tool Router │──│ State Store │──│ WebSocket Broadcast │ │
│ └─────────────┘ └─────────────┘ └──────────┬──────────┘ │
└────────────────────────────────────────────────┼────────────┘
│ WebSocket
▼
┌───────────────────────────────────┐
│ Browser (Excalidraw Editor) │
└───────────────────────────────────┘
🔧 Development
Prerequisites
- Node.js >= 18
- pnpm >= 9
Setup
# Clone the repository
git clone https://github.com/Scofieldfree/excalidraw-mcp.git
cd excalidraw-mcp
# Install dependencies
pnpm install
# Start development server
pnpm dev
Scripts
| Command | Description |
|---|---|
pnpm dev | Start dev server (backend + frontend) |
pnpm build | Build for production |
pnpm typecheck | Run TypeScript type checking |
pnpm lint | Run ESLint |
pnpm release | Create a new release version |
📦 Project Structure
excalidraw-mcp/
├── packages/
│ └── mcp-server/ # Core MCP server + Excalidraw frontend
│ ├── src/
│ │ ├── index.ts # Entry point
│ │ ├── state.ts # Session state management
│ │ ├── http-server.ts
│ │ └── tools/ # MCP tool implementations
│ └── web/ # Excalidraw React frontend
├── docs/ # Documentation
└── package.json # Workspace configuration
🐛 Troubleshooting
Port Already in Use
The server automatically finds an available port starting from 3100. If you need a specific port, set the PORT environment variable.
Browser Doesn't Open
Ensure you have a default browser configured. The server uses the open package to launch the browser.
WebSocket Connection Failed
Check if any firewall or antivirus is blocking WebSocket connections on localhost.
🤝 Contributing
Contributions are welcome! Please read our Contributing Guide for details.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'feat: add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
📜 License
MIT © Scofieldfree
🔗 Links
FAQ
- What is the Excalidraw MCP Server MCP server?
- Excalidraw MCP Server is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Excalidraw MCP Server?
- This profile displays 37 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★37 reviews- ★★★★★Neel Singh· Dec 20, 2024
We wired Excalidraw MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Pratham Ware· Dec 4, 2024
Excalidraw MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Chen Ramirez· Dec 4, 2024
Excalidraw MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Yash Thakker· Nov 23, 2024
According to our notes, Excalidraw MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Arya Taylor· Nov 19, 2024
Excalidraw MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Neel Bhatia· Nov 11, 2024
We evaluated Excalidraw MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Dhruvi Jain· Oct 14, 2024
We wired Excalidraw MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Arya Brown· Oct 14, 2024
Excalidraw MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Arya Martin· Oct 10, 2024
Strong directory entry: Excalidraw MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Neel Smith· Oct 2, 2024
Excalidraw MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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