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Blender Ai MCP Server

`blender-ai-mcp` lets Claude, ChatGPT, Codex, and other MCP clients control Blender through a stable tool API instead of ad-hoc Python generation.

Remote serverstreamable-httpPython

What is the Blender Ai MCP Server?

blender-ai-mcp lets Claude, ChatGPT, Codex, and other MCP clients control Blender through a stable tool API instead of ad-hoc Python generation. The result is a

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
router_set_goalrouter_get_status
browse_workflowsreference_images
scene_scope_graphscene_relation_graph
scene_view_diagnosticssearch_tools
call_tooloptional prompt bridge tools when MCP_PROMPTS_AS_TOOLS_ENABLED=true:
list_promptsget_prompt
scene_get_viewportscene_clean_scene
buildphase cleanup is still allowed when recovery is needed
macro_cutout_recessmacro_finish_form

How to install the Blender Ai MCP Server

{
  "mcpServers": {
    "blender-ai-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "/tmp:/tmp",
        "-e",
        "BLENDER_AI_TMP_INTERNAL_DIR=/tmp",
        "-e",
        "BLENDER_AI_TMP_EXTERNAL_DIR=/tmp",
        "-e",
        "ROUTER_ENABLED=true",
        "-e",
        "MCP_SURFACE_PROFILE=llm-guided",
        "-e",
        "BLENDER_RPC_HOST=host.docker.internal",
        "ghcr.io/patrykiti/blender-ai-mcp:latest"
      ]
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Example prompts to try

  • “Use Blender Ai MCP to Goal.”
  • “Use Blender Ai MCP to Truth.”
  • “Use Blender Ai MCP to router set goal.”

Frequently asked questions

`blender-ai-mcp` lets Claude, ChatGPT, Codex, and other MCP clients control Blender through a stable tool API instead of ad-hoc Python generation. The result is a Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

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