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LiCinCan
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LiCinCan/blender-ai-mcp-addon

AI assistant and MCP server for Blender: visual chat, scene tools, multi-agent workflows. Works with OpenAI, ChatGPT, Claude, Gemini, Ollama, OpenCode. Blender AI addon and plugin, copilot for 3D, bpy Python scripting, MCP integration.

Python ◇ ai-assistant MIT
★964STARS
⑂389FORKS
!31ISSUES
🏆#7,485GLOBAL RANK
🔥10DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

blender-ai-mcp-addon is blender-ai-mcp-addon is an open-source project written in Python: AI assistant and MCP server for Blender: visual chat, scene tools, multi-agent workflows. Works with OpenAI, ChatGPT, Claude, Gemini, Ollama, OpenCode. Blender AI addon and plugin, copilot for 3D, bpy Python scripting, MCP integration..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), LiCinCan/blender-ai-mcp-addon has accumulated 964 GitHub stars and 389 forks. It is written in Python, licensed under MIT, and ranks #7,485 globally. It is actively maintained with the latest commit recorded on Oct 20, 2026.”
Repository LiCinCan/blender-ai-mcp-addon ↗
Primary Category ai assistant
Language & Stack Python
Software License MIT
Community Traction ★ 964 stars · ⑂ 389 forks · #7,485 globally
Maintenance ● Active (Last commit: Oct 20, 2026) · 31 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is blender-ai-mcp-addon actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, blender-ai-mcp-addon is actively maintained. Continuous telemetry recorded the last code commit on Oct 20, 2026 (11 days ago). Supported by 964 stars and 389 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 20, 2026
11 days since last push
Issue Backlog
31 Open Issues
Healthy Issue Cadence
Community Backing
389 Forks
964 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for LiCinCan/blender-ai-mcp-addon
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Momentum

+24

STARS · LAST 30 DAYS

1

PER DAY

#1,057

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+24+90
Per day111
Forks gained+0+8+19

blender-ai-mcp-addon gained 24 stars in the last 30 days, about 1 a day, and now has 964. It is about 1 year old and has averaged roughly 964 stars a year. It ranks #1,057 among Python repositories and #7,485 across all languages on GitHubRepo.

Trending Record

blender-ai-mcp-addon has maintained a continuous presence across global trending indexes, peaking at #628. Below is the 30-day activity profile:

💡 Overview

blender-ai-mcp-addon is an open-source project written in Python: AI assistant and MCP server for Blender: visual chat, scene tools, multi-agent workflows. Works with OpenAI, ChatGPT, Claude, Gemini, Ollama, OpenCode. Blender AI addon and plugin, copilot for 3D, bpy Python scripting, MCP integration.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-assistant, blender, blender-addon. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install blender-ai-mcp-addon

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

blender-ai-mcp-addon coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with blender-ai-mcp-addon.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install blender-ai-mcp-addon using your package manager: `pip install blender-ai-mcp-addon`

2

Initialize your project workspace or configuration file for blender-ai-mcp-addon.

3

Import blender-ai-mcp-addon into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `blender-ai-mcp-addon --help` to verify successful setup.

👍 Strengths

Active community backing with 924 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

LiCinCan/blender-ai-mcp-addon is currently ranked #7,485 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,478 resend/resend-node TypeScript ★ 966 Compare ↗
#7,478 microsoft/wassette Rust ★ 966 Compare ↗
#7,478 michael-denyer/pstack-claude JavaScript ★ 966 Compare ↗
#7,483 flipperdevices/Flipper-iOS-App Swift ★ 965 Compare ↗
#7,483 googleapis/google-cloud-rust Rust ★ 965 Compare ↗
#7,485 LiCinCan/blender-ai-mcp-addon This Project Python ★ 964
#7,485 JetBrains/markdown Kotlin ★ 964 Compare ↗
#7,485 VakhoKontridze/VComponents Swift ★ 964 Compare ↗
#7,485 hyparam/hyparquet JavaScript ★ 964 Compare ↗
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Frequently Asked Questions

What does blender-ai-mcp-addon do? +

AI assistant and MCP server for Blender: visual chat, scene tools, multi-agent workflows. Works with OpenAI, ChatGPT, Claude, Gemini, Ollama, OpenCode. Blender AI addon and plugin, copilot for 3D, bpy Python scripting, MCP integration.

Is blender-ai-mcp-addon actively maintained in 2026? +

Yes, blender-ai-mcp-addon is actively maintained. The latest code push was recorded on Oct 20, 2026 (11 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 964 stars and 31 open issues.

What language is blender-ai-mcp-addon written in? +

The primary language is Python. Topics include: ai-assistant, blender, blender-addon, blender-ai, blender-automation.

How many stars does blender-ai-mcp-addon have? +

blender-ai-mcp-addon has 964 stars and 389 forks on GitHub.

How does blender-ai-mcp-addon rank among GitHub repositories? +

With 964 stars, LiCinCan/blender-ai-mcp-addon is ranked #7,485 globally across all repositories tracked on GitHubRepo and #1,057 among Python projects.

What license is blender-ai-mcp-addon distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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