Excalidraw Mcp

excalidraw-mcp

Generate 25+ types of beautiful hand-drawn diagrams with AI — flowcharts, sequence, architecture, mind maps, ER, class, state, timeline, pie/bar/line/radar charts, kanban, wireframes, decision trees, and more — with Sugiyama hierarchical layout, CJK support, and zero learning curve.

By Maaker.AI

Showcase

Every image below was generated by a single tool call — no coordinates, no manual layout. The .excalidraw sources live in docs/showcase/; drag any of them onto excalidraw.com to keep editing.

Flowchart (branches + cycle + CJK)	Layered architecture

Install

Claude Code (recommended)

claude mcp add excalidraw -- uvx maaker-excalidraw-mcp

Claude Desktop

Add to your MCP config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "excalidraw": {
      "command": "uvx",
      "args": ["maaker-excalidraw-mcp"]
    }
  }
}

opencode / Cursor / any MCP client

{
  "mcp": {
    "excalidraw": {
      "type": "local",
      "command": ["uvx", "maaker-excalidraw-mcp"],
      "enabled": true
    }
  }
}

(opencode shown; Cursor and other clients use the same uvx maaker-excalidraw-mcp command in their MCP config format.)

pip

pip install maaker-excalidraw-mcp

Tools

Tool	Description
create_flowchart	Flowcharts with Sugiyama layout — branches, merges, cycles, groups
create_architecture_diagram	Layered architecture diagrams with connections
create_sequence_diagram	UML sequence diagrams with lifelines and messages
create_class_diagram	UML class diagrams with attributes, methods, relationships
create_state_diagram	UML state machines with initial/final states
create_er_diagram	Entity-Relationship diagrams with cardinality
create_mindmap	Tree-style mind maps with auto-colored branches
create_timeline	Timeline/Gantt charts with overlapping event handling
create_pie_chart	Pie charts with labeled slices and percentages
create_kanban_board	Kanban boards with columns and cards
create_network_diagram	Network topology with typed nodes (server, DB, etc.)
create_quadrant_chart	2x2 priority/positioning matrices
create_user_journey	User journey maps with emotion indicators
create_wireframe	UI wireframe mockups with device frames
create_org_chart	Organizational charts (top-down hierarchy)
create_swot_analysis	SWOT analysis 2x2 color-coded matrices
create_table	Grid tables with auto-sized columns and alternating row colors
create_bar_chart	Vertical bar charts with auto-scaled bars and labels
create_line_chart	Line charts with multi-series support
create_radar_chart	Radar/spider charts with multi-series overlay
create_decision_tree	Decision trees with diamond decisions and rectangular outcomes
import_mermaid	Import Mermaid syntax (flowchart, sequence, class, state)
list_diagram_types	List all available diagram types
modify_diagram	Add/remove nodes and connections in existing diagrams
read_diagram	Analyze existing .excalidraw files
export_diagram	Export diagrams to SVG format

Quick Examples

Flowchart

Just tell your AI assistant:

"Create a flowchart: User Request → Load Balancer → API Server → Database"

The AI will call create_flowchart with structured data, and you'll get a .excalidraw file with:

• Sugiyama hierarchical layout — proper handling of branches, merges, cycles, and disconnected subgraphs
• Auto-calculated box sizes based on text content
• Perfectly centered text (including Chinese/CJK characters)
• Smart arrow routing with proper edge binding
• Hand-drawn style that looks great in docs and presentations
• 4 directions: LR (left-to-right), RL, TB (top-to-bottom), BT

Architecture Diagram

"Create an architecture diagram with Frontend (React, Next.js), Backend (API Server, Auth Service), and Database (PostgreSQL, Redis) layers"

Generates a layered diagram with components organized by tier, automatic sizing, and connections between layers.

Read & Modify

"Read the diagram at ./my-system.excalidraw and add a 'Cache' node connected to the API Server"

Works with existing .excalidraw files — read their structure, add/remove nodes, add connections.

Why excalidraw-mcp?

vs Official Excalidraw MCP (excalidraw/excalidraw-mcp)

Feature	Official MCP	excalidraw-mcp
Approach	Raw JSON — AI manually places every element	Structured input — say what you want, get a diagram
Layout	AI calculates coordinates	Sugiyama hierarchical auto-layout
Branches/Merges	AI must figure out positioning	Automatic — handled by layout engine
CJK text	No width estimation	Accurate CJK/mixed-script width calculation
Text centering	AI must calculate x/y offsets	Automatic centering in containers
Arrow binding	AI must manage bindings	Automatic fixedPoint + orbit binding
Local files	Cannot read/write local files	Full read, modify, save support
Distribution	Remote URL / .mcpb	uvx / pip (standard Python)
Token usage	Needs read_me call to learn format	Format knowledge built-in

vs Mermaid-based tools

• Free layout: Not constrained by Mermaid syntax limitations
• Hand-drawn style: Native Excalidraw look, not rendered code blocks
• Editable output: Drag the .excalidraw file to excalidraw.com to continue editing

Tool Reference

create_flowchart

Input:
  nodes: [{label: "Step 1", color?: "blue", shape?: "rectangle"}]
  edges: [{from: "Step 1", to: "Step 2", label?: "next"}]
  direction?: "LR" | "RL" | "TB" | "BT"  (default: "LR")
  title?: "My Flowchart"
  output_path?: "/path/to/output.excalidraw"

Output: Path to generated .excalidraw file

Colors: blue, green, purple, yellow, red, gray, orange, pink

Shapes: rectangle (default), diamond (decisions), ellipse (start/end)

create_architecture_diagram

Input:
  layers: [{
    name: "Frontend",
    color?: "blue",
    components: [{label: "React"}, {label: "Next.js"}]
  }]
  connections?: [{from: "React", to: "API Server"}]
  output_path?: "/path/to/output.excalidraw"

Output: Path to generated .excalidraw file

modify_diagram

Input:
  file_path: "/path/to/existing.excalidraw"
  add_nodes?: [{label: "New Node", color?: "green", x?: 100, y?: 100}]
  remove_labels?: ["Old Node"]
  add_connections?: [{from: "A", to: "B"}]
  output_path?: "/path/to/output.excalidraw"

Output: Path to modified file

read_diagram

Input:
  file_path: "/path/to/diagram.excalidraw"

Output: Structured description (shapes, connections, colors)

export_diagram

Input:
  file_path: "/path/to/diagram.excalidraw"
  format: "svg"

Output: Path to exported SVG file

Technical Details

Sugiyama Hierarchical Layout

Uses the grandalf library for proper directed graph layout:

• Layer assignment: Nodes placed in layers based on graph topology
• Crossing minimization: Multi-pass optimization to reduce edge crossings
• Coordinate assignment: Balanced positioning within layers
• Cycle handling: Feedback edge detection for cyclic graphs
• Disconnected subgraphs: Automatic side-by-side placement

CJK Width Estimation

Accurate text width calculation for mixed Chinese/English text:

Character Type	Width (at fontSize=20)
CJK characters	~22px per character
ASCII letters/digits	~11px per character
Spaces	~5px

Arrow Binding

Uses Excalidraw's modern fixedPoint + orbit binding (not the deprecated focus/gap format):

{
  "startBinding": {
    "elementId": "box1",
    "fixedPoint": [1.0, 0.5001],
    "mode": "orbit"
  }
}

Arrows automatically connect at the correct edge based on relative positions.

Development

git clone https://github.com/maaker-ai/excalidraw-mcp.git
cd excalidraw-mcp
uv sync --dev
uv run pytest

License

MIT