📡 MCP Radar

anujasid/mcp-for-blender-pro

AI assistant and MCP server for Blender: visual chat, scene tools, model selection, multi-agent workflows. Works with OpenAI, Claude, Gemini, Ollama and OpenCode. Blender AI automation, bpy scripting,

⭐ 334 stars
⑂ 0 forks
Python
momentum ▲ 3340.0
created 2026-10-15
on radar since 2026-10-17
3d3d-automation3d-modelingai-agentsai-assistantblenderblender-addonblender-aiblender-automationblender-extensionblender-mcpblender-pythonblender-scriptingblender3dbpygeometry-nodesmcpmcp-for-blendermcp-servermodel-context-protocol
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About mcp-for-blender-pro

Your Blender scene. Your AI models. One creative workspace.

An AI assistant for Blender that can inspect your scene, build objects, edit materials, find assets and carry out multi-step workflows—with a visual chat workspace and a built-in Model Context Protocol (MCP) server.

Download · Getting started · Connections and agents

Turn a creative brief into scene operations

Start with an idea. Ask the assistant to inspect your scene, create a product-display layout, arrange objects, assign materials or prepare an export. Follow its actions in the conversation and inspect the result in the viewport preview. Keep working in Blender throughout the process.

mcp-for-blender-pro brings conversation, scene tools, model choice and agent workflows together. It is designed for artists who want faster iteration, technical artists who automate repetitive work, and developers connecting AI tools to Blender.

Capability What it gives you ------ Blender-aware assistance Scene and object inspection gives the assistant context before it acts. A visual Studio workspace Chat, scene objects, viewport snapshots, approvals and a task board in a companion window. Your choice of AI Connect supported cloud providers, local Ollama models or compatible custom endpoints. Saved connections Keep work and personal connections separate, including multiple keys for the same provider. One assistant or a team Use a single model for quick changes, or managers, workers and reviewers for structured tasks. Built-in MCP server Connect OpenCode and other clients supporting authenticated Streamable HTTP MCP. 21 sce

From the project README.

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