antigravity-drawio-mcp 1.0.3

Production-grade Model Context Protocol (MCP) server for Draw.io & Google Antigravity

🎨 Antigravity Draw.io MCP Server (antigravity-drawio-mcp)

Production-grade Model Context Protocol (MCP) Server framework connecting Google Antigravity, LLM agents, and IDE tools to the Draw.io Desktop App and native CLI environment.

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🏗️ System Architecture

The antigravity-drawio-mcp framework is structured into a 3-tier C4 Software Component Architecture (Level 3):

1. Software System Boundary (AI Clients): Communicates via standard JSON-RPC 2.0 over Stdio transport with Google Antigravity Core Agent or any MCP-compatible IDE (VS Code, Cursor, Claude Desktop, Windsurf).
2. Container: Antigravity Draw.io MCP Server (src/antigravity_drawio_mcp):
   • FastMCP Request Handler: FastMCP protocol engine and tool request dispatcher.
   • Draw.io XML Builder: Programmatic XML DOM construction and geometry engine.
   • Draw.io File Parser: Direct .drawio XML parsing & native zlib/base64 decompressor.
   • CLI Export Engine: Process lock manager and Draw.io desktop CLI wrapper (--export).
   • Diagram Validator: Automated collision detector & label boundary auditor.
   • Mermaid Conversion Engine: Bi-directional Mermaid JS to Draw.io converter.
3. External Systems & Storage: Interoperates with local draw.io.exe for headless image rendering (PNG, SVG, PDF) and persistent file storage.

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⚡ Key Features

• 🎨 Programmatic XML Construction: Build complex multi-page Draw.io diagrams natively in Python without external dependencies.
• 🖼️ Headless Image Rendering: Instant export to PNG, SVG, PDF, or JPEG using local draw.io.exe desktop CLI integration.
• 🖥️ Desktop GUI Interop: Automatically launch generated .drawio files directly in the Draw.io Desktop application.
• 🔍 Native Zlib Parsing: Inspect existing Draw.io diagrams, automatically decompressing compressed XML streams.
• 🔄 Mermaid JS Bridge: Convert standard Mermaid JS graphs straight into native Draw.io XML cells.
• 🛡️ Automated Boundary Verification: Audit diagrams for overlapping nodes, text bounds, and broken edge paths.

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🔌 Integration Guidelines (AI Assistants & IDEs)

For detailed step-by-step setup guides, refer to the Integration Guide.

Quick Setup Snippets

🌐 Google Antigravity (.gemini/antigravity/mcp_config.json)

{
  "mcpServers": {
    "antigravity_drawio": {
      "command": "python",
      "args": ["-m", "antigravity_drawio_mcp.server"]
    }
  }
}

🤖 Claude Desktop / Claude Code (claude_desktop_config.json)

{
  "mcpServers": {
    "antigravity_drawio": {
      "command": "python",
      "args": ["-m", "antigravity_drawio_mcp.server"]
    }
  }
}

⚡ Cursor IDE (Features -> MCP Servers)

• Command: python -m antigravity_drawio_mcp.server

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🎨 Real-World Industry Diagrams & Replications

antigravity-drawio-mcp powers production-grade architectural diagrams across hardware, software, and decision-tree domains:

1. SystemVerilog UVM Layered Testbench Architecture

IEEE 1800 Object-Oriented Verification Framework diagram featuring Driver, Monitor, Sequencer, Scoreboard, and DUT Interface layers.

2. Graphic Organizer Selection Flowchart

27-node decision flowchart mapping complex pedagogical visual learning structures.

3. DE10-Advanced FPGA Design & CAD Tool Flow

Intel Quartus Prime CAD compilation, System Builder, and FPGA programming workflow.

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🚀 Proof of Concept (PoC) & Examples

Comprehensive Python PoC scripts are available in the examples/ directory:

Example Script	Procedure Demonstrated
examples/01_basic_architecture.py	Programmatic 3-tier web architecture graph creation, verification, PNG & SVG rendering.
examples/02_mermaid_to_drawio.py	Converts a standard Mermaid JS flowchart definition string into native .drawio XML elements.
examples/03_parse_and_inspect.py	Loads an existing .drawio XML diagram, transparently handles zlib stream decompression, and extracts nodes/edges.
examples/04_mcp_client_simulation.py	Simulates how AI Assistants (e.g. Google Antigravity) dispatch Model Context Protocol (MCP) tool requests.

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🚀 Production Publishing

For complete production release steps, refer to the Publishing Guide.

# 1. Build distribution wheel & sdist
python -m build

# 2. Upload to PyPI via Twine
python -m twine upload dist/*

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📦 Installation

From PyPI

pip install antigravity-drawio-mcp

From Source (Development)

git clone https://github.com/S-SUJAN-S/antigravity-drawio-mcp.git
cd antigravity-drawio-mcp
pip install -e .

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🛠️ MCP Tools Reference

The antigravity-drawio-mcp server exposes 7 production tools over Model Context Protocol:

Tool Name	Parameters	Description
create_diagram	output_path, nodes, edges, page_name	Generates a native .drawio XML diagram file from structured JSON nodes & edges.
export_diagram	input_path, output_path, format, page_index	Renders a .drawio file to high-res PNG, vector SVG, PDF, or JPEG via Draw.io CLI.
open_in_drawio	input_path	Launches the specified .drawio file directly inside Draw.io Desktop GUI.
parse_diagram	input_path	Parses raw or zlib-compressed .drawio XML files and extracts node/edge data.
convert_mermaid_to_drawio	mermaid_code, output_path	Converts Mermaid JS flowchart syntax directly to a .drawio file.
validate_diagram	input_path	Audits a diagram for node collisions, layout overlaps, and text clipping issues.

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🧪 Testing & Verification

Run the comprehensive unit test suite:

python -m unittest tests/test_mcp_server.py

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📄 License

Distributed under the MIT License.