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blend-ai MCP Server

jabberwock/blend-ai

Score: 50.5 Rank #82 MCP Server
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An intuitive and efficient MCP Server for Blender.

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Overview

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

StarsFreshnessIssue HealthContributorsDependents
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

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License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

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AgentRank score for jabberwock/blend-ai
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Matched Queries

"mcp server""mcp-server"

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 a
Read full README on GitHub →

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