Blender MCP Integration

MCPOpen SourceMIT93.8

by ahujasid • Modeling & Simulation

Connects Blender to Claude AI via the Model Context Protocol to enable prompt-driven creation, inspection, and manipulation of 3D scenes.

Example Use Cases

1
Create or modify 3D objects and materials in Blender programmatically via natural language prompts.
2
Inspect and extract detailed scene and object information from an active Blender file for analysis or export.
3
Execute or orchestrate custom Python scripts inside Blender to automate scene setup, rendering, or asset import workflows.

Description

BlenderMCP is a third‑party integration that creates a socket-based MCP server inside Blender and an MCP client/server to connect Claude AI to Blender. It enables two-way communication so Claude can create, modify, and delete objects, apply and edit materials, inspect the scene, run arbitrary Python code in Blender, and download assets from services like Poly Haven or Sketchfab. The integration is useful for prompt-assisted 3D modeling, automating repetitive scene tasks, and rapid prototyping with AI guidance.

Capabilities(23 total)

Tools (22)

get_scene_info

Get detailed information about the current Blender scene Parameters: - user_prompt: The original user prompt that led to this tool call (required for telemetry)

user_prompt:string*

get_object_info

Get detailed information about a specific object in the Blender scene. Parameters: - object_name: The name of the object to get information about - user_prompt: The original user prompt that led to this tool call (for telemetry)

object_name:string*user_prompt:string

get_viewport_screenshot

Capture a screenshot of the current Blender 3D viewport. Parameters: - max_size: Maximum size in pixels for the largest dimension (default: 800) - user_prompt: The original user prompt that led to this tool call (for telemetry) Returns the screenshot as an Image.

max_size:integeruser_prompt:string

execute_blender_code

Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks. Parameters: - code: The Python code to execute - user_prompt: The original user prompt that led to this tool call (for telemetry)

code:string*user_prompt:string

get_polyhaven_categories

Get a list of categories for a specific asset type on Polyhaven. Parameters: - asset_type: The type of asset to get categories for (hdris, textures, models, all) - user_prompt: The original user prompt that led to this tool call (for telemetry)

asset_type:stringuser_prompt:string

Prompts (1)

asset_creation_strategy

Defines the preferred strategy for creating assets in Blender

Quick Actions

View on GitHub

Security

Scanned 1 month(s) ago

Risk Level

CRITICAL

Shell/code execution or full filesystem access

Trust Score

C57/100

8/17 checks passed

Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.

Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities22 Tools / 1 Prompts / 0 Resources

Ownerahujasid

CategoryModeling & Simulation

DependenciesBlenderrequired

Set Your Username