MCP Server for AI automation of the PlayCanvas Editor
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"playcanvas": {
"env": {
"PORT": "52000"
},
"args": [
"/c",
"npx",
"tsx",
"C:\\path\\to\\editor-mcp-server\\src\\server.ts"
],
"command": "cmd"
}
}
}Are you the author?
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No automated test available for this server. Check the GitHub README for setup instructions.
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An MCP Server for automating the PlayCanvas Editor using an LLM.
[!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.
list_entitiescreate_entitiesdelete_entitiesduplicate_entitiesmodify_entitiesreparent_entityadd_componentsremove_componentsadd_script_component_scriptlist_assetscreate_assetsdelete_assetsinstantiate_template_assetsset_script_textscript_parseset_material_diffusequery_scene_settingsmodify_scene_settingsstore_searchstore_getstore_downloadcapture_viewportfocus_viewportRun npm install to install all dependencies.
chrome://extensions/ and enable Developer modeLoad unpacked and select the extension folderThe MCP Server can be driven by Cursor or Claude Desktop.
[!TIP]
We have found Claude Desktop to be generally more reliable.
Claude > Settings.Developer and then Edit Config.claude_desktop_config.json, your MCP Config JSON file.File > Preferences > Cursor Settings.+ Add new global MCP server.mcp.json, your MCP Config JSON file.[!TIP]
Also inCursor Settings, selectFeaturesand scroll to theChatsection. ActivateEnable auto-run modeto 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 haveAgentselected.AskandEditmodes will not recognize the MCP Server.
This is how your config should look:
Windows
{
"mcpServers": {
"playcanvas": {
"command": "cmd",
"args": [
"/c",
"npx",
"tsx",
"C:\\path\\to\\editor-mcp-server\\src\\server.ts"
],
"env": {
"PORT": "52000"
}
}
}
}
macOS
{
"mcpServers": {
"playcanvas": {
"command": "npx",
"args": [
"tsx",
"/path/to/editor-mcp-server/src/server.ts"
],
"env": {
"PORT": "52000"
... [View full README on GitHub](https://github.com/playcanvas/editor-mcp-server#readme)