code-visualizer-mcp
An MCP server that generates Excalidraw diagrams to visualize algorithm execution step-by-step, supporting multiple data structures and integration with AI assistants.
README
🎨 Code Visualizer MCP
An MCP server that generates Excalidraw diagrams to visualize algorithm execution step-by-step. Give it your code + an example input, and get a single .excalidraw file showing every iteration.

✨ Features
- Single-file traces — All iterations in ONE
.excalidrawdiagram - 12 data structures — Array, LinkedList, Tree, Graph, HashMap, Stack, Queue, Matrix, Heap, Trie, Priority Queue, Set
- Dark-mode palette — YouTube-friendly colors with semantic highlighting
- MCP + CLI — Use via AI assistants (Claude, Cursor, Gemini) or command line
📐 Supported Data Structures
| Data Structure | Type Key | Visualization |
|---|---|---|
| Array | array |
Horizontal cells with index labels + pointer arrows |
| Linked List | linkedlist |
Nodes with next-pointers and cycle detection |
| Binary Tree | tree |
Hierarchical layout with parent-child edges |
| Graph | graph |
Circular layout with directed/undirected edges |
| HashMap | hashmap |
Vertical key-value pair list |
| Stack | stack |
Vertical cells with TOP label |
| Queue | queue |
Horizontal cells with FRONT/REAR labels |
| Matrix | matrix |
2D grid with row/col labels |
| Heap | heap |
Binary tree + array representation |
| Priority Queue | priority_queue |
Same as heap |
| Trie | trie |
Tree with character-labeled edges |
| Set | set |
Rounded-rectangle collection |
🚀 Quick Start
Prerequisites
- Python 3.10+
- uv (recommended) or pip
Installation
git clone https://github.com/your-username/code-visualizer-mcp.git
cd code-visualizer-mcp
uv sync
🔌 Client Integration & Ways to Use
This MCP server is standard Model Context Protocol compliant and works with a variety of AI assistants and IDEs:
1. Claude Desktop
Add to claude_desktop_config.json (~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"code-visualizer": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/code-visualizer-mcp",
"run",
"code-visualizer"
]
}
}
}
2. Google Antigravity (AGY)
Add to your Antigravity MCP config file (~/.gemini/antigravity/mcp_config.json or your project settings):
{
"mcpServers": {
"code-visualizer": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/code-visualizer-mcp",
"run",
"code-visualizer"
]
}
}
}
3. Cursor IDE
- Open Cursor Settings > Features > MCP.
- Click + Add New MCP Server.
- Set Name:
code-visualizer, Type:stdio - Set Command:
uv --directory /absolute/path/to/code-visualizer-mcp run code-visualizer
4. VS Code (Cline / Roo Code / Continue)
Add to your extension's MCP settings file (e.g. cline_mcp_settings.json):
{
"mcpServers": {
"code-visualizer": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/code-visualizer-mcp",
"run",
"code-visualizer"
]
}
}
}
5. MCP Inspector (Interactive Testing)
To test and debug tools directly in a browser UI without an AI assistant:
npx @modelcontextprotocol/inspector uv --directory /absolute/path/to/code-visualizer-mcp run code-visualizer
CLI Usage
# Generate an array diagram
uv run python examples/generate_cli.py array \
--title "Two Sum" \
--data "2,7,11,15" \
--highlights "0:visited,1:found" \
--pointers "i:1"
# Generate a full algorithm trace
uv run python examples/sliding_window_maximum.py
Output files are saved to the output/ directory as .excalidraw files. Open them at excalidraw.com or in the VS Code Excalidraw extension.
🏗️ Project Structure
code-visualizer-mcp/
├── pyproject.toml # Project config, dependencies, entry points
├── LICENSE
├── README.md
│
├── src/code_visualizer/ # Main package
│ ├── __init__.py
│ ├── server.py # MCP server entry point (FastMCP)
│ ├── renderer.py # Excalidraw JSON file writer
│ │
│ ├── primitives/ # Low-level element factories
│ │ ├── elements.py # make_rectangle, make_ellipse, make_arrow, ...
│ │ ├── colors.py # Semantic color palette (PALETTE, get_color)
│ │ └── styles.py # Style presets (CELL_STYLE, NODE_STYLE, ...)
│ │
│ ├── layout/ # Spatial position calculators
│ │ ├── linear.py # Arrays, matrices, stacks, queues, hashmaps, sets
│ │ ├── tree_layout.py # Binary trees, heaps, tries
│ │ └── graph_layout.py # Circular graph layout
│ │
│ └── tools/ # MCP tool implementations
│ ├── visualize_array.py # Array + hashmap diagrams
│ ├── visualize_linkedlist.py
│ ├── visualize_tree.py
│ ├── visualize_graph.py
│ └── visualize_trace.py # ⭐ Multi-step trace (primary tool)
│
├── tests/ # Test suite
│ ├── conftest.py # Shared fixtures
│ ├── test_primitives.py # Element factory tests
│ └── test_tools.py # Tool integration tests
│
├── examples/ # Usage examples
│ ├── generate_cli.py # CLI diagram generator
│ └── sliding_window_maximum.py # Full algorithm trace example
│
├── docs/
│ └── architecture.md # System architecture & workflow guide
│
└── output/ # Generated .excalidraw files
🧪 Running Tests
uv run pytest -v
🎨 Color Palette
| Color Name | Use Case | Preview |
|---|---|---|
default |
Unvisited elements | ⬛ |
current |
Currently processing | 🟧 |
highlighted |
Active window/range | 🟦 |
visited |
Already processed | ⬜ |
found |
Match / answer found | 🟨 |
comparing |
Being compared | 🟠 |
swapping |
Being swapped | 🩷 |
pointer_a / pointer_b / pointer_c |
Named pointers | 🟩🟪💛 |
success / error |
Result indicators | ✅❌ |
📄 License
MIT — see LICENSE.
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