blender-mcp

blender-mcp is a skill for Claude Code, Codex from math-inc/OpenGauss. It costs 54 tokens per session (1,011 once invoked), scanned A, original, MIT.

A connection between Gauss and a running Blender instance, where Blender is software for creating 3D models, materials, scenes, and animations.

In plain words
What is it for?
Creating or modifying 3D objects, materials, and animations, running Blender Python code, inspecting scene objects, and capturing viewport screenshots.
Why use it?
It lets an agent inspect and change Blender scenes through commands instead of requiring every action to be performed manually in the Blender interface.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Creating or modifying 3D objects, materials, and animations, running Blender Python code, inspecting scene objects, and capturing viewport screenshots.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/math-inc/opengauss/blender-mcp
About the project

OpenGauss is a project-scoped Lean workflow orchestrator that gives coding agents a command-line interface for managing formal proof and formalization tasks. It is used with Lean projects to coordinate agents, tooling, backend sessions, and workflows supplied by lean4-skills. The catalogue add-ons operate these Gauss-native workflows.

math-inc/OpenGauss · 1,260 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add math-inc/OpenGauss --skill blender-mcp
Clone the repo
git clone --depth 1 https://github.com/math-inc/OpenGauss

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for blender-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/math-inc/opengauss/blender-mcp/github.svg)](https://agentmods.dev/skills/math-inc/opengauss/blender-mcp)
Your own site
<a href="https://agentmods.dev/skills/math-inc/opengauss/blender-mcp"><img src="https://agentmods.dev/badge/skills/math-inc/opengauss/blender-mcp/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for blender-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/math-inc/opengauss/blender-mcp"><img src="https://agentmods.dev/badge/skills/math-inc/opengauss/blender-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,011 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01011
Opus 5 $0.00027 $0.00505
Sonnet 5 $0.00011 $0.00202
Haiku 4.5 $0.00005 $0.00101

Measured 9d ago against content hash 55878933f0e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

blender-mcp scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sL https://raw.githubusercontent.com/ahujasid/blender-mcp/main/addon.py -o ~/Desktop/blender_mcp_addon.py
Origin

Copies of this mod

5 near-identical copies found in the catalogue:

optional-skills/creative/blender-mcp/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Blender MCP

Control a running Blender instance from Gauss via socket on TCP port 9876.

Setup (one-time)

1. Install the Blender addon

curl -sL https://raw.githubusercontent.com/ahujasid/blender-mcp/main/addon.py -o ~/Desktop/blender_mcp_addon.py

In Blender: Edit > Preferences > Add-ons > Install > select blender_mcp_addon.py Enable "Interface: Blender MCP"

2. Start the socket server in Blender

Press N in Blender viewport to open sidebar. Find "BlenderMCP" tab and click "Start Server".

3. Verify connection

nc -z -w2 localhost 9876 && echo "OPEN" || echo "CLOSED"

Protocol

Plain UTF-8 JSON over TCP -- no length prefix.

Send: {"type": "", "params": {}} Receive: {"status": "success", "result": } {"status": "error", "message": ""}

Available Commands

type params description
execute_code code (str) Run arbitrary bpy Python code
get_scene_info (none) List all objects in scene
get_object_info object_name (str) Details on a specific object
get_viewport_screenshot (none) Screenshot of current viewport

Python Helper

Use this inside execute_code tool calls:

import socket, json

def blender_exec(code: str, host="localhost", port=9876, timeout=15):
    s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    s.connect((host, port))
    s.settimeout(timeout)
    payload = json.dumps({"type": "execute_code", "params": {"code": code}})
    s.sendall(payload.encode("utf-8"))
    buf = b""
    while True:
        try:
            chunk = s.recv(4096)
            if not chunk:
                break
            buf += chunk
            try:
                json.loads(buf.decode("utf-8"))
                break
            except json.JSONDecodeError:
                continue
        except socket.timeout:
            break
    s.close()
    return json.loads(buf.decode("utf-8"))

Read the full file on GitHub · 117 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 117 lines · 54 tokens per session scan A 55878933f0e3

Subscribe to this mod's changes

blender-mcp is a skill published in the GitHub repository math-inc/OpenGauss (1,260 stars, last pushed 5mo ago), licensed MIT. It adds 54 tokens to every session and 1,011 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.