Pynet Bridge MCP server

by RAEN-DT·io.github.RAEN-DT/pynet-mcp-bridge·v1.7.1·3 stars

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MCP implementation to connect AI agents with the PyNet Platform for BIM/Engineering automation.

A91/100grade A

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Safety scan

A91/100

full report

Adoption

Growing

3 stars263 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Pynet Bridge tools (24, 7 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

check_plugin_status
Handshake ping to verify the plugin listener is responsive.
configure_output_window
Toggles the visibility of the PyNet log/output window.
create_pynet_modulewrite action
Creates a new custom Tab (ButtonsModule) in the Ribbon.
delete_pynet_modulewrite action
Permanently deletes a module and all its contents.
delete_script_buttonwrite action
Permanently removes a ScriptButton from a module by Id.
deploy_script_buttonwrite action
Installs a new ScriptButton into a specific module (Name, Script, Icon, Tooltip).
get_buttons_data
Lists all script buttons for a specific module ID.
get_output_window_status
Checks if the output window is currently available/visible.
get_pynet_ui_layout
Fetches the full UI structure (ButtonsModules and ScriptButtons).
list_active_instances
Scans the system for running host processes (Autodesk, Rhino, PyNET for Tekla/Presto) with an active PyNet IPC pipe.
send_commandwrite action
Direct script execution in the PyNet engine (Target PID, Script Name, Content).
send_command_by_pathwrite action
Executes a script file directly by path in the PyNet engine, without sending content inline.
update_script_buttonwrite action
Updates metadata for an existing ScriptButton or moves it to another module.
viewer_clear
Clears highlights and ghosting in the open viewer.
viewer_fit
Fits the camera to all models in the open viewer.
viewer_get_properties
Reads element properties (name, model, psets) from the loaded package's properties.json.
viewer_get_state
Reads the viewer's last reported state: loaded models and the pnt_id of whatever the user currently has selected (click in the 3D view or the tree panel — null if nothing is selected). Use the returned pnt_id with viewer_get_properties for its details, or feed it into a clashes.json lookup to find what it clashes with.
viewer_highlight_clash
Highlights a clash (element(s) A red, element(s) B green) and isolates the rest away.
viewer_isolate
Isolates (hides everything except) the given pnt_ids in the open viewer.
viewer_isolate_models
Shows only the given model(s)/discipline(s) (by exact name, e.g. "Snowdon Towers Sample HVAC"), hiding every other loaded model. Cheaper than viewer_isolate for "just show me this discipline" requests — no need to resolve every element's pnt_id first. Get the exact model names from viewer_get_state's "models" list. Undo with viewer_clear.
viewer_list_clashes
Reads the loaded package's clashes.json — the data source, NOT the viewer/IFC.
viewer_load_package
Loads a .pnt into the open viewer and returns a summary read from clashes.json.
viewer_select
Highlights a set of elements in the open viewer by pnt_id, in neutral colours (yellow / blue) with nothing else hidden — a plain "look at these" pointer.
viewer_status
Reports whether a PyNet BIM Viewer is open in VS Code (port, package, data dir).

Public scan report

scanner v0.1.10 · 2026-10-24 · same rubric, same numbers if you re-run it

no findings

Code scan6 source files scanned25/25
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitylocal package, no credentials required12/15
Maintenancelast push 1 days ago15/15
Maintainer identityregistry namespace matches repository owner7/10

Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

How Pynet Bridge compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score: 91/100; higher than 85% of 48,255 servers
Tools: 24; the typical server has 7
Tools that change things: 29%; typical: 0%. Fewer write tools means less an agent can break
GitHub stars: 3; more than 80% of 28,688 servers
Downloads a week: 263; more than 79% of 12,191 servers with a package

What its tools let an agent do: 17 read · 1 create · 1 change · 2 delete · 2 send or post · 1 run or deploy

Install Pynet Bridge in Claude Code, Cursor or VS Code

claude mcp add pynet-mcp-bridge -- uvx pynet-mcp-bridge

Add to Cursor

What the publisher says

From the Pynet Bridge repository's README, as published. We do not edit it. Read it on GitHub

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

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

Available integrations include Navisworks Manage, Revit, Civil 3D, Rhino, Tekla Structures (2023–2026) and RIB Presto (budgets, COM API).

This bridge acts as the connective tissue between AI logic and the desktop APIs of those hosts, 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

The user describes a task in natural language.
The AI generates a Python script.
PyNet Bridge validates and sends the script.
The PyNet plugin executes it inside Autodesk.
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:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Pynet Bridge: common questions

Is Pynet Bridge MCP server safe?: Yes, by our scan: it is graded A (91/100). Read the Pynet Bridge safety report
How do I install Pynet Bridge?: It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Pynet Bridge need an API key?: Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Pynet Bridge maintained?: The last commit was 12 days ago (2026-10-23). The latest release is v1.7.1.
How does Pynet Bridge compare with other MCP servers?: safety score 91/100 (higher than 85% of 48,255 servers); tools 24 (the typical server has 7); tools that change things 29% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.