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Experience seamless AI-powered 3D modeling by connecting Blender with Claude AI via the Model Context Protocol. BlenderMCP enables two-way communication, allowing you to create, modify, and inspect 3D scenes directly through AI prompts. Control objects, materials, lighting, and execute Python code in Blender effortlessly. Access assets from Poly Haven and generate AI-driven models using Hyper3D Rodin. This integration enhances creative workflows by combining Blender’s robust tools with Claude’s intelligent guidance, making 3D content creation faster, interactive, and more intuitive. Perfect for artists and developers seeking AI-assisted 3D design within Blender’s environment.

Publisherahujasid
Repositoryblender-mcp
LanguagePython
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2.1K
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21.6K
Available tools
21
Transport typestdio
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LicenseMIT
Links
  • Connect tools to AI workflows

    Blender exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 21 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    21.6K stars and 2.1K forks from the linked repository.

BlenderMCP - Blender Model Context Protocol Integration

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

We have no official website. Any website you see online is unofficial and has no affiliation with this project. Use them at your own risk.

Full tutorial

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Give feedback, get inspired, and build on top of the MCP: Discord

Supporters

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Support this project

Current version(1.5.5)

  • Added Hunyuan3D support
  • View screenshots for Blender viewport to better understand the scene
  • Search and download Sketchfab models
  • Support for Poly Haven assets through their API
  • Support to generate 3D models using Hyper3D Rodin
  • Run Blender MCP on a remote host
  • Telemetry for tools executed (completely anonymous)

Installating a new version (existing users)

  • For newcomers, you can go straight to Installation. For existing users, see the points below
  • Download the latest addon.py file and replace the older one, then add it to Blender
  • Delete the MCP server from Claude and add it back again, and you should be good to go!

Features

  • Two-way communication: Connect Claude AI to Blender through a socket-based server
  • Object manipulation: Create, modify, and delete 3D objects in Blender
  • Material control: Apply and modify materials and colors
  • Scene inspection: Get detailed information about the current Blender scene
  • Code execution: Run arbitrary Python code in Blender from Claude

Components

The system consists of two main components:

  1. Blender Addon (addon.py): A Blender addon that creates a socket server within Blender to receive and execute commands
  2. MCP Server (src/blender_mcp/server.py): A Python server that implements the Model Context Protocol and connects to the Blender addon

Installation

Prerequisites

  • Blender 3.0 or newer
  • Python 3.10 or newer
  • uv package manager:

If you're on Mac, please install uv as

bash
brew install uv

On Windows

powershell
powershell -c "irm https://astral.sh/uv/install.ps1 | iex" 

and then add uv to the user path in Windows (you may need to restart Claude Desktop after):

powershell
$localBin = "$env:USERPROFILE\.local\bin"
$userPath = [Environment]::GetEnvironmentVariable("Path", "User")
[Environment]::SetEnvironmentVariable("Path", "$userPath;$localBin", "User")

Otherwise installation instructions are on their website: Install uv

⚠️ Do not proceed before installing UV

Environment Variables

The following environment variables can be used to configure the Blender connection:

  • BLENDER_HOST: Host address for Blender socket server (default: "localhost")
  • BLENDER_PORT: Port number for Blender socket server (default: 9876)

Example:

bash
export BLENDER_HOST='host.docker.internal'
export BLENDER_PORT=9876

Claude for Desktop Integration

Watch the setup instruction video (Assuming you have already installed uv)

Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following:

json
{
    "mcpServers": {
        "blender": {
            "command": "uvx",
            "args": [
                "blender-mcp"
            ]
        }
    }
}

Use the Claude Code CLI to add the blender MCP server:

bash
claude mcp add blender uvx blender-mcp

Cursor integration

Install MCP Server

For Mac users, go to Settings > MCP and paste the following

  • To use as a global server, use "add new global MCP server" button and paste
  • To use as a project specific server, create .cursor/mcp.json in the root of the project and paste
json
{
    "mcpServers": {
        "blender": {
            "command": "uvx",
            "args": [
                "blender-mcp"
            ]
        }
    }
}

For Windows users, go to Settings > MCP > Add Server, add a new server with the following settings:

json
{
    "mcpServers": {
        "blender": {
            "command": "cmd",
            "args": [
                "/c",
                "uvx",
                "blender-mcp"
            ]
        }
    }
}

Cursor setup video

⚠️ Only run one instance of the MCP server (either on Cursor or Claude Desktop), not both

Visual Studio Code Integration

Prerequisites: Make sure you have Visual Studio Code installed before proceeding.

Install in VS Code

Installing the Blender Addon

  1. Download the addon.py file from this repo
  2. Open Blender
  3. Go to Edit > Preferences > Add-ons
  4. Click "Install..." and select the addon.py file
  5. Enable the addon by checking the box next to "Interface: Blender MCP"

Usage

Starting the Connection

BlenderMCP in the sidebar

  1. In Blender, go to the 3D View sidebar (press N if not visible)
  2. Find the "BlenderMCP" tab
  3. Turn on the Poly Haven checkbox if you want assets from their API (optional)
  4. Click "Connect to Claude"
  5. Make sure the MCP server is running in your terminal

Using with Claude

Once the config file has been set on Claude, and the addon is running on Blender, you will see a hammer icon with tools for the Blender MCP.

BlenderMCP in the sidebar

Capabilities

  • Get scene and object information
  • Create, delete and modify shapes
  • Apply or create materials for objects
  • Execute any Python code in Blender
  • Download the right models, assets and HDRIs through Poly Haven
  • AI generated 3D models through Hyper3D Rodin

Example Commands

Here are some examples of what you can ask Claude to do:

  • "Create a low poly scene in a dungeon, with a dragon guarding a pot of gold" Demo
  • "Create a beach vibe using HDRIs, textures, and models like rocks and vegetation from Poly Haven" Demo
  • Give a reference image, and create a Blender scene out of it Demo
  • "Generate a 3D model of a garden gnome through Hyper3D"
  • "Get information about the current scene, and make a threejs sketch from it" Demo
  • "Make this car red and metallic"
  • "Create a sphere and place it above the cube"
  • "Make the lighting like a studio"
  • "Point the camera at the scene, and make it isometric"

Hyper3D integration

Hyper3D's free trial key allows you to generate a limited number of models per day. If the daily limit is reached, you can wait for the next day's reset or obtain your own key from hyper3d.ai and fal.ai.

Troubleshooting

  • Connection issues: Make sure the Blender addon server is running, and the MCP server is configured on Claude, DO NOT run the uvx command in the terminal. Sometimes, the first command won't go through but after that it starts working.
  • Timeout errors: Try simplifying your requests or breaking them into smaller steps
  • Poly Haven integration: Claude is sometimes erratic with its behaviour
  • Have you tried turning it off and on again?: If you're still having connection errors, try restarting both Claude and the Blender server

Technical Details

Communication Protocol

The system uses a simple JSON-based protocol over TCP sockets:

  • Commands are sent as JSON objects with a type and optional params
  • Responses are JSON objects with a status and result or message

Limitations & Security Considerations

  • The execute_blender_code tool allows running arbitrary Python code in Blender, which can be powerful but potentially dangerous. Use with caution in production environments. ALWAYS save your work before using it.
  • Poly Haven requires downloading models, textures, and HDRI images. If you do not want to use it, please turn it off in the checkbox in Blender.
  • Complex operations might need to be broken down into smaller steps

Telemetry Control

BlenderMCP collects anonymous usage data to help improve the tool. You can control telemetry in two ways:

  1. In Blender: Go to Edit > Preferences > Add-ons > Blender MCP and uncheck the telemetry consent checkbox

    • With consent (checked): Collects anonymized prompts, code snippets, and screenshots
    • Without consent (unchecked): Only collects minimal anonymous usage data (tool names, success/failure, duration)
  2. Environment Variable: Completely disable all telemetry by running:

bash
DISABLE_TELEMETRY=true uvx blender-mcp

Or add it to your MCP config:

json
{
    "mcpServers": {
        "blender": {
            "command": "uvx",
            "args": ["blender-mcp"],
            "env": {
                "DISABLE_TELEMETRY": "true"
            }
        }
    }
}

All telemetry data is fully anonymized and used solely to improve BlenderMCP.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Disclaimer

This is a third-party integration and not made by Blender. Made by Siddharth

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "blender": {
      "command": "uvx",
      "args": [
        "blender-mcp"
      ]
    }
  }
}

Available Tools

  • get_scene_info

    Get detailed information about the current Blender scene

  • 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
    
  • 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)
    
    Returns the screenshot as an Image.
    
  • 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
    
  • 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)
    
  • search_polyhaven_assets
    Search for assets on Polyhaven with optional filtering.
    
    Parameters:
    - asset_type: Type of assets to search for (hdris, textures, models, all)
    - categories: Optional comma-separated list of categories to filter by
    
    Returns a list of matching assets with basic information.
    
  • download_polyhaven_asset
    Download and import a Polyhaven asset into Blender.
    
    Parameters:
    - asset_id: The ID of the asset to download
    - asset_type: The type of asset (hdris, textures, models)
    - resolution: The resolution to download (e.g., 1k, 2k, 4k)
    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)
    
    Returns a message indicating success or failure.
    
  • set_texture
    Apply a previously downloaded Polyhaven texture to an object.
    
    Parameters:
    - object_name: Name of the object to apply the texture to
    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)
    
    Returns a message indicating success or failure.
    
  • get_polyhaven_status
    Check if PolyHaven integration is enabled in Blender.
    Returns a message indicating whether PolyHaven features are available.
    
  • get_hyper3d_status
    Check if Hyper3D Rodin integration is enabled in Blender.
    Returns a message indicating whether Hyper3D Rodin features are available.
    
    Don't emphasize the key type in the returned message, but sliently remember it. 
    
  • get_sketchfab_status
    Check if Sketchfab integration is enabled in Blender.
    Returns a message indicating whether Sketchfab features are available.
    
  • search_sketchfab_models
    Search for models on Sketchfab with optional filtering.
    
    Parameters:
    - query: Text to search for
    - categories: Optional comma-separated list of categories
    - count: Maximum number of results to return (default 20)
    - downloadable: Whether to include only downloadable models (default True)
    
    Returns a formatted list of matching models.
    
  • download_sketchfab_model
    Download and import a Sketchfab model by its UID.
    
    Parameters:
    - uid: The unique identifier of the Sketchfab model
    
    Returns a message indicating success or failure.
    The model must be downloadable and you must have proper access rights.
    
  • generate_hyper3d_model_via_text
    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.
    
    Parameters:
    - text_prompt: A short description of the desired model in **English**.
    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.
    
    Returns a message indicating success or failure.
    
  • generate_hyper3d_model_via_images
    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.
    
    Parameters:
    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.
    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.
    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.
    
    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.
    Returns a message indicating success or failure.
    
  • poll_rodin_job_status
    Check if the Hyper3D Rodin generation task is completed.
    
    For Hyper3D Rodin mode MAIN_SITE:
        Parameters:
        - subscription_key: The subscription_key given in the generate model step.
    
        Returns a list of status. The task is done if all status are "Done".
        If "Failed" showed up, the generating process failed.
        This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled").
    
    For Hyper3D Rodin mode FAL_AI:
        Parameters:
        - request_id: The request_id given in the generate model step.
    
        Returns the generation task status. The task is done if status is "COMPLETED".
        The task is in progress if status is "IN_PROGRESS".
        If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed.
        This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state).
    
  • import_generated_asset
    Import the asset generated by Hyper3D Rodin after the generation task is completed.
    
    Parameters:
    - name: The name of the object in scene
    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.
    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.
    
    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!
    Return if the asset has been imported successfully.
    
  • get_hunyuan3d_status
    Check if Hunyuan3D integration is enabled in Blender.
    Returns a message indicating whether Hunyuan3D features are available.
    
    Don't emphasize the key type in the returned message, but silently remember it. 
    
  • generate_hunyuan3d_model
    Generate 3D asset using Hunyuan3D by providing either text description, image reference, 
    or both for the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.
    
    Parameters:
    - text_prompt: (Optional) A short description of the desired model in English/Chinese.
    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.
    
    Returns: 
    - When successful, returns a JSON with job_id (format: "job_xxx") indicating the task is in progress
    - When the job completes, the status will change to "DONE" indicating the model has been imported
    - Returns error message if the operation fails
    
  • poll_hunyuan_job_status
    Check if the Hunyuan3D generation task is completed.
    
    For Hunyuan3D:
        Parameters:
        - job_id: The job_id given in the generate model step.
    
        Returns the generation task status. The task is done if status is "DONE".
        The task is in progress if status is "RUN".
        If status is "DONE", returns ResultFile3Ds, which is the generated ZIP model path
        When the status is "DONE", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.
        This is a polling API, so only proceed if the status are finally determined ("DONE" or some failed state).
    
  • import_generated_asset_hunyuan
    Import the asset generated by Hunyuan3D after the generation task is completed.
    
    Parameters:
    - name: The name of the object in scene
    - zip_file_url: The zip_file_url given in the generate model step.
    
    Return if the asset has been imported successfully.
    

Use Blender MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Blender is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Blender as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Blender MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "blender": {
      "command": "npx",
      "args": [
        "-y",
        "blender-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Blender MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Blender MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Blender to help me with this task?
Blender
Sure. I read it.
Here is what I found using Blender.

Frequently asked questions

What is the Blender MCP server used for?

Blender is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Blender MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Blender with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Blender MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Blender connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Blender MCP to TypingMind?

Blender runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Blender MCP provide in TypingMind?

Blender exposes 21 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Blender MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Blender requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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