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2025-04-14

MCP Server for AI automation of the PlayCanvas Editor

3 years

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An MCP Server for automating the PlayCanvas Editor using an LLM.

Screenshot 2025-03-21 at 15 50 10

[!IMPORTANT]
At the moment, the MCP Server needs to be driven by Anthropic's Claude. Our experience shows that the free tier for Claude does not deliver a big enough chat context to operate the MCP Server reliably. Therefore, we strongly recommend subscribing to a Pro Claude account.

Available Tools

  • Entity
    • list_entities
    • create_entities
    • delete_entities
    • duplicate_entities
    • modify_entities
    • reparent_entity
    • add_components
    • remove_components
    • add_script_component_script
  • Asset
    • list_assets
    • create_assets
    • delete_assets
    • instantiate_template_assets
    • set_script_text
    • script_parse
    • set_material_diffuse
  • Scene
    • query_scene_settings
    • modify_scene_settings
  • Store
    • store_search
    • store_get
    • store_download

Installation

Run npm install to install all dependencies.

Install Chrome Extension

  1. Visit chrome://extensions/ and enable Developer mode
  2. Click Load unpacked and select the extensions folder
  3. Load the PlayCanvas Editor. The extension should be loaded.

Run MCP Server

The MCP Server can be driven by Cursor or Claude Desktop.

[!TIP]
We have found Claude Desktop to be generally more reliable.

Claude Desktop

  1. Install Claude Desktop.
  2. Go to Claude > Settings.
  3. Select Developer and then Edit Config.
  4. This will open claude_desktop_config.json, your MCP Config JSON file.

Cursor

  1. Install Cursor.
  2. Select File > Preferences > Cursor Settings.
  3. Click + Add new global MCP server.
  4. This will open mcp.json, your MCP Config JSON file.

[!TIP]
Also in Cursor Settings, select Features and scroll to the Chat section. Activate Enable auto-run mode to allow the LLM to run MCP tools without requiring constant authorization. You do this at your own risk (but we prefer it)!

[!IMPORTANT]
In Cursor, ensure you have Agent selected. Ask and Edit modes will not recognize the MCP Server.

MCP Config JSON File

This is how your config should look:

Windows

{
  "mcpServers": {
    "playcanvas": {
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "tsx",
        "C:\\path\\to\\mcp-editor\\src\\server.ts"
      ],
      "env": {
        "PORT": "52000"
      }
    }
  }
}

macOS

{
  "mcpServers": {
    "playcanvas": {
      "command": "npx",
      "args": [
        "tsx",
        "/path/to/mcp-editor/src/server.ts"
      ],
      "env": {
        "PORT": "52000"
      }
    }
  }
}

Connecting the Editor to the MCP Server

The PlayCanvas Editor does not connect to the MCP Server automatically. To connect:

  1. Activate a Chrome tab running the PlayCanvas Editor.
  2. Select the Extensions icon to the right of the address bar.
  3. Select PlayCanvas Editor MCP Extension to open the extension popup.
  4. Select CONNECT (the port number should match what is set in your MCP Config JSON File).

[!NOTE] You can currently only connect one instance of the PlayCanvas Editor to the MCP Server at any one time.

You should now be able to issue commands in Claude Desktop or Cursor.

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    Reviews

    3 (1)
    Avatar
    user_kqH1ZcL2
    2025-04-15

    The remote-mcp-server by coffee-mug is a game-changer for anyone who needs reliable remote access solutions. The setup is straightforward, and the performance is top-notch - it’s significantly boosted my productivity. The user interface is intuitive, and the welcome information is very helpful. Highly recommend checking it out if remote access is essential for your workflow!