editor-mcp-server

Name: editor-mcp-server
Author: playcanvas

Warning

MCP Server for AI automation of the PlayCanvas Editor

116stars

25forks

TypeScript

Installation

# Add to your Claude Code skills
git clone https://github.com/playcanvas/editor-mcp-server

Getting Started

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Security ReportWarning

Last scanned: 5/30/2026

{
  "issues": [
    {
      "type": "npm-audit",
      "message": "@hono/node-server: @hono/node-server has authorization bypass for protected static paths via encoded slashes in Serve Static Middleware",
      "severity": "high"
    },
    {
      "type": "npm-audit",
      "message": "@modelcontextprotocol/sdk: @modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse",
      "severity": "high"
    },
    {
      "type": "npm-audit",
      "message": "ajv: ajv has ReDoS when using `$data` option",
      "severity": "medium"
    },
    {
      "type": "npm-audit",
      "message": "body-parser: body-parser is vulnerable to denial of service when url encoding is used",
      "severity": "medium"
    },
    {
      "type": "npm-audit",
      "message": "brace-expansion: brace-expansion Regular Expression Denial of Service vulnerability",
      "severity": "medium"
    },
    {
      "type": "npm-audit",
      "message": "fast-uri: fast-uri vulnerable to path traversal via percent-encoded dot segments",
      "severity": "high"
    },
    {
      "type": "npm-audit",
      "message": "flatted: flatted vulnerable to unbounded recursion DoS in parse() revive phase",
      "severity": "high"
    },
    {
      "type": "npm-audit",
      "message": "hono: Hono JWK Auth Middleware has JWT algorithm confusion when JWK lacks \"alg\" (untrusted header.alg fallback)",
      "severity": "high"
    },
    {
      "type": "npm-audit",
      "message": "js-yaml: js-yaml has prototype pollution in merge (<<)",
      "severity": "medium"
    },
    {
      "type": "npm-audit",
      "message": "minimatch: minimatch has a ReDoS via repeated wildcards with non-matching literal in pattern",
      "severity": "high"
    },
    {
      "type": "npm-audit",
      "message": "path-to-regexp: path-to-regexp vulnerable to Denial of Service via sequential optional groups",
      "severity": "high"
    },
    {
      "type": "npm-audit",
      "message": "picomatch: Picomatch: Method Injection in POSIX Character Classes causes incorrect Glob Matching",
      "severity": "high"
    },
    {
      "type": "npm-audit",
      "message": "qs: qs's arrayLimit bypass in comma parsing allows denial of service",
      "severity": "medium"
    },
    {
      "type": "npm-audit",
      "message": "ws: ws: Uninitialized memory disclosure",
      "severity": "medium"
    }
  ],
  "status": "WARNING",
  "scannedAt": "2026-05-30T16:34:37.473Z",
  "npmAuditRan": true,
  "pipAuditRan": true
}

README.md

Frequently Asked Questions

What is editor-mcp-server?

editor-mcp-server is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by playcanvas. MCP Server for AI automation of the PlayCanvas Editor. It has 116 GitHub stars.

Is editor-mcp-server safe to use?

editor-mcp-server returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.

How do I install editor-mcp-server?

Clone the repository with "git clone https://github.com/playcanvas/editor-mcp-server" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is editor-mcp-server written in?

editor-mcp-server is primarily written in TypeScript. It is open-source under playcanvas on GitHub, so you can review or fork the full source.

Are there alternatives to editor-mcp-server?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh editor-mcp-server against similar tools.

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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.

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
Viewport
- capture_viewport
- focus_viewport

Installation

Run npm install to install all dependencies.

Install Chrome Extension

Visit chrome://extensions/ and enable Developer mode
Click Load unpacked and select the extension folder
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

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

Cursor

Install Cursor.
Select File > Preferences > Cursor Settings.
Click + Add new global MCP server.
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\\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"
      }
    }
  }
}

Connecting the Editor to the MCP Server

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

Activate a Chrome tab running the PlayCanvas Editor.
Select the Extensions icon to the right of the address bar.
Select PlayCanvas Editor MCP Extension to open the extension popup.
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.