HoldMyBeer-gg/blend-ai
MCP server for Blender. 175 tools for modelling, materials, rendering and more, driven by Claude or any MCP client.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#666
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
blend-ai gained 10 stars in the last 30 days, about 1 a day, and now has 148. It is about 1 year old and has averaged roughly 148 stars a year. It ranks #666 among Python repositories and #5,850 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#4150
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
blend-ai has maintained a continuous presence across global trending indexes, peaking at #4150. Below is the 30-day activity profile:
💡 Overview
blend-ai is an open-source project written in Python: MCP server for Blender. 175 tools for modelling, materials, rendering and more, driven by Claude or any MCP client.
Engineered for speed, consistency, and developer ease, it solves common hurdles in 3d, 3d-modeling, ai. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install blend-ai⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
blend-ai 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 blend-ai.
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
Install blend-ai using your package manager: `pip install blend-ai`
Initialize your project workspace or configuration file for blend-ai.
Import blend-ai into your codebase or invoke it directly from your terminal.
Execute your test suite or run `blend-ai --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
HoldMyBeer-gg/blend-ai is currently ranked #5,850 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,832 | OpenMoonRay/moonray | C++ | ★ 149 | Compare ↗ |
| #5,832 | Gurge44/EndlessHostRoles | C# | ★ 149 | Compare ↗ |
| #5,832 | ubiquiti-community/terraform-provider-unifi | Go | ★ 149 | Compare ↗ |
| #5,832 | holon-run/holon | Rust | ★ 149 | Compare ↗ |
| #5,832 | screentinker/screentinker | JavaScript | ★ 149 | Compare ↗ |
| #5,850 | HoldMyBeer-gg/blend-ai This Project | Python | ★ 148 | |
| #5,850 | emonti/rbkb | Ruby | ★ 148 | Compare ↗ |
| #5,850 | rappen/FetchXMLBuilder | C# | ★ 148 | Compare ↗ |
| #5,850 | microprofile/microprofile-rest-client | Java | ★ 148 | Compare ↗ |
| #5,850 | thegetty/quire | JavaScript | ★ 148 | Compare ↗ |
| #5,850 | alex-on-ai/WebReaper | C# | ★ 148 | Compare ↗ |
Frequently Asked Questions
What does blend-ai do? +
MCP server for Blender. 175 tools for modelling, materials, rendering and more, driven by Claude or any MCP client.
What language is blend-ai written in? +
The primary language is Python. Topics include: 3d, 3d-modeling, ai, blender, blender-addon.
Is blend-ai actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 0 open issues being tracked.
How many stars does blend-ai have? +
blend-ai has 148 stars and 20 forks on GitHub.
How does blend-ai rank among GitHub repositories? +
With 148 stars, HoldMyBeer-gg/blend-ai is ranked #5,850 globally across all repositories tracked on GitHubRepo and #666 among Python projects.
What license is blend-ai distributed under? +
The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
