blend-ai MCP Server
jabberwock/blend-ai
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An intuitive and efficient MCP Server for Blender.
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jabberwock/blend-ai is a Python MCP server. An intuitive and efficient MCP Server for Blender.
Ranked #82 out of 109 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Python No license
Score Breakdown
Stars 15% 2
2 stars → early stage
Freshness 25% today
Last commit today → actively maintained
Issue Health 25% 50%
No issues filed → no history to score
Contributors 10% 1
1 contributor → solo project
Dependents 25% 0
No dependents → no downstream usage
npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Good
License None
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
How to Improve
Description low impact
License low impact
Contributors medium impact
Matched Queries
From the README
# blend-ai The most intuitive and efficient MCP Server for Blender. Control Blender entirely through AI assistants like Claude — create 3D models, set up scenes, animate, render, and more, all through natural language. <small>This was created via Claude Code using the Haiku model and 20 random reference images. It took 5 minutes:</small> ## Key Features - **161 tools** covering every major Blender domain: modeling, mesh editing, materials, shader nodes, lighting, camera, animation, rendering, sculpting, UV mapping, physics, geometry nodes, rigging, curves, grease pencil, collections, file I/O, Bool Tool, and viewport control - **Render-aware** — automatically detects when Blender is rendering and queues commands instead of hanging - **Zero telemetry** — no usage tracking, no analytics, no data collection. Everything runs locally. - **Zero-dependency Blender addon** — the addon uses only Python stdlib + `bpy`. Nothing to pip install inside Blender's bundled Python. - **Thread-safe aRead full README on GitHub →
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