PyNet Bridge is the execution layer that allows AI models to control Autodesk tools in real-time.

It connects Natural Language → Python → Autodesk desktop tools (Navisworks, Revit, AutoCAD), enabling AI to generate, execute, and refine BIM workflows autonomously.

Available integrations include Navisworks Manage, Revit, and Civil 3D.

This bridge acts as the connective tissue between AI logic and Autodesk desktop APIs, allowing for dynamic UI creation, script execution, and BIM process automation using natural language.

🎬 Demos & Tutorials

See PyNet Bridge in action — these recordings show the full natural-language → BIM-action workflow inside live Autodesk models.

⭐ Featured: Autonomous BIM Coordination

In this technical demo, Claude Code connects to Navisworks and Revit at the same time to run a full coordination workflow end-to-end:

• Engineering criteria as a Skill — the AI applies tolerance rules to decide which interferences to auto-approve.
• Real-time data auditing — validates model integrity and detects missing parameters (PYNET_Classification) before coordinating.
• Autonomous geometry generation — generates architectural sleeves (pasatubos) directly in Revit, with precise spatial rotation to match pipe angles.
• Self-healing code — hits a live Revit API data-type exception, analyzes the failure, rewrites the script on the fly, and completes the task.

🔄 How it works

1. The user describes a task in natural language.
2. The AI generates a Python script.
3. PyNet Bridge validates and sends the script.
4. The PyNet plugin executes it inside Autodesk.
5. Results are returned back to the AI.

This is what turns AI from a chatbot into an execution engine for BIM.

🚀 What makes PyNet Bridge powerful

• AI → Action: Turns AI-generated code into real actions inside Navisworks/Revit
• Real-time Execution: Run scripts instantly without leaving the BIM environment
• Dynamic UI Creation: Let AI create tools, buttons and workflows on the fly
• Reliable Communication: Fast and stable, entirely local
• Model-Aware Automation: Operates directly on live BIM models

🛠️ Installation

✅ Option A — Automatic installer (recommended)

Open PowerShell and run:

irm https://raw.githubusercontent.com/RAEN-DT/PyNetBridge/main/install.ps1 | iex

This will automatically:

1. Check Python 3.10+ is installed
2. Install pynet-mcp-bridge from PyPI (via uv or pip)
3. Auto-detect and configure all installed AI clients:
   • Claude Desktop (standard and Microsoft Store versions)
   • Claude Code (VS Code extension / CLI)
   • Cline (VS Code extension)
   • Roo Code (VS Code extension)
   • Codex CLI (~/.codex/config.toml)

The pynet-mcp-bridge package includes:

Restart your AI client(s) after installation to apply changes.

📦 Python Libraries Starter Pack (optional)

Install the recommended Python libraries for Navisworks, Revit and Civil 3D scripting with PyNET:

irm https://raw.githubusercontent.com/RAEN-DT/PyNetBridge/main/install-libraries.ps1 | iex

This installs:

These are the third-party libraries listed under Allowed Python Imports. Standard library modules (json, sys, re, etc.) are already included with Python.

Prerequisites

• PyNet Platform plugin installed in Navisworks/Revit.
• Python 3.10 or higher → python.org — Python 3.14 is supported.
• uv → docs.astral.sh/uv — required. The Claude Desktop extension (.mcpb) launches the server with uvx pynet-mcp-bridge, so uv must be installed and on your PATH. Install it with winget install astral-sh.uv. Without uv, the extension will fail to start.
• Git → git-scm.com — required for VS Code extensions (Claude Code, Cline, Roo Code) to function correctly.
• For Cline / Roo Code: VS Code → code.visualstudio.com

🔧 Option B — Manual installation

1. Install the package:

uv tool install pynet-mcp-bridge

Or with pip:

pip install pynet-mcp-bridge

2. Configure Claude Desktop:

Add the following to your claude_desktop_config.json:

• Standard: %APPDATA%\Claude\claude_desktop_config.json
• Microsoft Store: %LOCALAPPDATA%\Packages\Claude_*\LocalCache\Roaming\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "pynet-bridge": {
      "command": "pynet-bridge",
      "args": []
    }
  }
}

3. Configure Claude Code (VS Code extension):

Add to %USERPROFILE%\.claude.json:

{
  "mcpServers": {
    "pynet-bridge": {
      "type": "stdio",
      "command": "pynet-bridge",
      "args": []
    }
  }
}

4. Configure Cline:

Add to %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json:

{
  "mcpServers": {
    "pynet-bridge": {
      "type": "stdio",
      "command": "pynet-bridge",
      "args": []
    }
  }
}

5. Configure Roo Code:

Add to %APPDATA%\Code\User\globalStorage\rooveterinaryinc.roo-cline\settings\mcp_settings.json:

{
  "mcpServers": {
    "pynet-bridge": {
      "type": "stdio",
      "command": "pynet-bridge",
      "args": []
    }
  }
}

6. Configure Codex CLI:

Add to %USERPROFILE%\.codex\config.toml:

[mcp_servers.pynet-bridge]
command = "C:/Users/<user>/.local/bin/pynet-bridge.exe"
args = []

🛠️ Available MCP Tools

These tools allow AI to fully control the PyNet environment, from UI creation to script execution and system monitoring. Once connected, the AI will have access to the full suite of PyNet tools:

🧠 Core capabilities exposed to AI

🔍 System & Connection

• list_active_instances: Scans the system for running Autodesk processes with an active PyNet connection.
• check_plugin_status: Handshake ping to verify the plugin listener is responsive.

🏗️ Module (Tab) Management

• get_pynet_ui_layout: Fetches the full UI structure (ButtonsModules and ScriptButtons).
• create_pynet_module: Creates a new custom Tab (ButtonsModule) in the Ribbon.
• delete_pynet_module: Permanently deletes a module and all its contents.

🔘 Button Management

• get_buttons_data: Lists all script buttons for a specific module ID.
• deploy_script_button: Installs a new ScriptButton into a specific module (Name, Script, Icon, Tooltip).
• update_script_button: Updates metadata for an existing ScriptButton or moves it to another module.
• delete_script_button: Permanently removes a ScriptButton from a module by Id.

💻 Execution & Console Control

• send_command: Direct script execution in the PyNet engine (Target PID, Script Name, Content).
• get_output_window_status: Checks if the output window is currently available/visible.
• configure_output_window: Toggles the visibility of the PyNet log/output window.

🧊 BIM Viewer Control (VS Code)

Drives the PyNet BIM Viewer open in VS Code. Reads clash data from the loaded .pnt package and controls the 3D view over a local (127.0.0.1) connection — nothing leaves your machine.

• viewer_status: Reports whether a PyNet BIM Viewer is open (port, package, data dir).
• viewer_list_clashes: Reads the loaded package's clashes.json and returns each clash with its pnt_id identifiers.
• viewer_load_package: Loads a .pnt into the open viewer, pushes the models, and returns a summary.
• viewer_highlight_clash: Highlights a clash pair by pnt_id (element A red, element B green).
• viewer_fit: Fits the camera to all models in the viewer.
• viewer_clear: Clears highlights and ghosting in the viewer.

💡 Usage Examples

These are realistic prompts you can give your AI client once PyNet Bridge is connected.