MCP implementation to connect AI agents with the PyNet Platform for BIM/Engineering automation.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-rafa2403nunez-droid-pynet-mcp-bridge": {
"command": "<see-readme>",
"args": []
}
}
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MCP implementation to connect AI agents with the PyNet Platform for BIM/Engineering automation.
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PyNet Platform Bridge (MCP) 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 AutoCAD.
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.
This is what turns AI from a chatbot into an execution engine for BIM.
Open PowerShell and run:
irm https://raw.githubusercontent.com/rafa2403nunez-droid/PyNetBridge/main/install.ps1 | iex
This will automatically:
pynet-mcp-bridge from PyPI (via uv or pip)The pynet-mcp-bridge package includes:
| Package | Purpose |
|---|---|
| pynet-mcp-bridge | MCP server that connects AI models with Autodesk Navisworks via PyNET |
| mcp[cli] | Model Context Protocol SDK and CLI tools |
| fastmcp | High-level MCP server framework |
| psutil | System process detection (finds running Autodesk instances) |
Restart your AI client(s) after installation to apply changes.
Install the recommended Python libraries for Navisworks/Revit scripting with PyNET:
irm https://raw.githubusercontent.com/rafa2403nunez-droid/PyNetBridge/main/install-libraries.ps1 | iex
This installs:
| Library | Purpose |
|---|---|
| pandas | Data analysis and manipulation |
| plotly | Interactive charts and visualizations |
| matplotlib | Static plots and graphs |
| dash | Web dashboards from Python |
These are the third-party libraries listed under Allowed Python Imports. Standard library modules (
json,sys,re, etc.) are already included with Python.
⚠️ Python 3.14 is not yet supported. The
pythonnetruntime currently supports Python 3.7 through 3.13. If you encounter aSystem.NotSupportedExceptionmentioning an unsupported ABI version, install Python 3.12 or 3.13 and configure PyNet to use it.
1. Install the package:
uv tool install pynet-mcp-bridge
`
... [View full README on GitHub](https://github.com/rafa2403nunez-droid/PyNetBridge#readme)