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Blender Mcp

Community
Tommy-yw
blender-mcp

Control Blender directly from Hermes via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. Use when user wants to create or modify anything in Blender.

Overview

PublisherTommy-yw
RepositoryRunbookHermes
Skill nameblender-mcp
Stars
546
Forks
41
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Tommy-yw on GitHub. Read the source before you install it.

Installation

Install the Blender Mcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Tommy-yw/RunbookHermes/tree/main/optional-skills/creative/blender-mcp
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Tommy-yw/RunbookHermes.git /tmp/RunbookHermes
mkdir -p .claude/skills
cp -r /tmp/RunbookHermes/optional-skills/creative/blender-mcp .claude/skills/blender-mcp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Blender Mcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Blender Mcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Blender Mcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Blender MCP

Control a running Blender instance from Hermes 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

typeparamsdescription
execute_codecode (str)Run arbitrary bpy Python code
get_scene_info(none)List all objects in scene
get_object_infoobject_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"))

Common bpy Patterns

Clear scene

bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete()

Add mesh objects

bpy.ops.mesh.primitive_uv_sphere_add(radius=1, location=(0, 0, 0))
bpy.ops.mesh.primitive_cube_add(size=2, location=(3, 0, 0))
bpy.ops.mesh.primitive_cylinder_add(radius=0.5, depth=2, location=(-3, 0, 0))

Create and assign material

mat = bpy.data.materials.new(name="MyMat")
mat.use_nodes = True
bsdf = mat.node_tree.nodes.get("Principled BSDF")
bsdf.inputs["Base Color"].default_value = (R, G, B, 1.0)
bsdf.inputs["Roughness"].default_value = 0.3
bsdf.inputs["Metallic"].default_value = 0.0
obj.data.materials.append(mat)

Keyframe animation

obj.location = (0, 0, 0)
obj.keyframe_insert(data_path="location", frame=1)
obj.location = (0, 0, 3)
obj.keyframe_insert(data_path="location", frame=60)

Render to file

bpy.context.scene.render.filepath = "/tmp/render.png"
bpy.context.scene.render.engine = 'CYCLES'
bpy.ops.render.render(write_still=True)

Pitfalls

  • Must check socket is open before running (nc -z localhost 9876)
  • Addon server must be started inside Blender each session (N-panel > BlenderMCP > Connect)
  • Break complex scenes into multiple smaller execute_code calls to avoid timeouts
  • Render output path must be absolute (/tmp/...) not relative
  • shade_smooth() requires object to be selected and in object mode

Frequently asked questions

What does the Blender Mcp AI skill do?

Control Blender directly from Hermes via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. Use when user wants to create or modify anything in Blender.

Why use Blender Mcp on TypingMind?

Because you install it once and use it with any model. Blender Mcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Blender Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Tommy-yw/RunbookHermes/tree/main/optional-skills/creative/blender-mcp. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Blender Mcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Blender Mcp?

As many as you like. As long as a model supports skills, you can use Blender Mcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Blender Mcp AI skill free?

Yes. It is published on GitHub by Tommy-yw under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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