Control a running Blender instance over TCP to execute bpy code.
npx skills add https://github.com/JuanMS20/solviora-agent --skill blender-mcp-juanms20
Please help me install this Agent Skill. Skill: blender-mcp Source: https://github.com/JuanMS20/solviora-agent/tree/main/optional-skills/creative/blender-mcp Command: npx skills add https://github.com/JuanMS20/solviora-agent --skill blender-mcp-juanms20
Allows remote control of a running Blender instance from Hermes via a socket connection to the blender-mcp addon, enabling creation and modification of objects, materials, animations, and the execution of arbitrary Blender Python (bpy) code.
Start the Blender MCP addon server inside Blender, then connect Hermes to localhost:9876 to begin sending bpy commands.
High-intent search queries and answers about installing and using this skill.
You can control a running Blender instance remotely by establishing a TCP socket connection to send JSON-formatted commands. This allows you to execute bpy code and manage scene objects from an external automation system.
Automated scene creation via a socket connection works by sending plain UTF-8 JSON commands, like execute_code, to a running Blender instance. This triggers bpy scripts that programmatically generate objects, apply materials, and sequence animations.
Yes, you can execute arbitrary bpy code by sending an execute_code command through a TCP socket. This enables remote management of scene objects, material setup, and animation sequencing directly from your automation workflow.
Yes, you need to start the Blender MCP addon server inside Blender first. Once the local server is running, you can connect your automation client to localhost:9876 to begin transmitting JSON commands.
The best way to query scene information during automation is using the get_scene_info and get_object_info commands. These JSON-based TCP requests retrieve current scene data and object properties from the running Blender instance.
Using a TCP socket for Blender automation requires a running Blender instance and an active addon server. It operates using a plain UTF-8 JSON protocol, meaning automation workflows are dependent on a stable local network connection.
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