{"repo":"dughogan/nuke_mcp","free":true,"listed":false,"github":"https://github.com/dughogan/nuke_mcp","clone":"git clone https://github.com/dughogan/nuke_mcp.git","description":"MCP Server and Tool code for Nuke","language":"Python","stars":34,"topics":[],"license":null,"category":"mcp-servers","readme_excerpt":"Nuke-MCP A bridge between The Foundry's Nuke and AI systems using the Model Context Protocol (MCP). Overview Nuke-MCP allows AI assistants to interact with Nuke through a socket connection, enabling them to: - Get information about Nuke scripts - Create, modify, and delete nodes - Position nodes in the node graph - Connect nodes together - Control playback and rendering - Execute arbitrary Python code in Nuke Components 1. Nuke Addon ( nuke mcp addon.py ): A Nuke script that creates a socket server within Nuke 2. MCP Server ( nuke mcp server.py ): A Python server that connects to the Nuke addon and exposes tools to AI systems 3. Entry Point ( main.py ): A simple script to start the MCP server Installation Prerequisites - The Foundry's Nuke (any recent version should work) - Python 3.7+ - FastMCP package - Claude Desktop Installing the FastMCP package Installing Nuke-MCP 1. Clone or download this repository 2. Copy nuke mcp addon.py to your Nuke scripts folder or a location in your Nuke Python path Usage Installing the Nuke Addon 1. Copy the Addon File : - Take the nuke mcp addon.py file and place it in a location where Nuke can find it: - Copy it to your Nuke scripts folder (usually in /.nuke/python on Linux/Mac or in your home directory on Windows) - Or place it in a folder that's in your Nuke Python path 2. Create a Startup Script (Recommended): - Create or edit an existing init.py file in your .nuke directory - Add the following line to automatically load the addon when Nu","default_branch":null,"files":null,"tree":[],"storefront":"/r/dughogan","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dughogan/nuke_mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}