advanced-unity-mcp vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	advanced-unity-mcp by codemaestroai	filesystem by modelcontextprotocol
Stars	★ 91	★ 85,748
30d uses	—	—
Score	47	77
Official	—	✓
Categories	Developer ToolsAI / LLM ToolsProductivity	File SystemDeveloper ToolsProductivity
Language	—	TypeScript
Last commit	2 mo ago	this month

advanced-unity-mcp · Summary

An MCP server that enables AI assistants to control Unity Editor through natural language commands.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

advanced-unity-mcp · Use cases

Automating Unity scene setup through AI commands
Streamlining game development with AI-powered asset creation
Enabling non-programmers to work with Unity via natural language

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

advanced-unity-mcp · Install

Installation

**1. Install the Package**

Unity Package Manager → Add package from git URL for the version of Unity you are using

For **Unity 2020-2022**

https://github.com/codemaestroai/advanced-unity-mcp.git?path=Unity2020_2022

For **Unity 6+**

https://github.com/codemaestroai/advanced-unity-mcp.git?path=Unity6

**2. Connect Your AI**

Go to Code Maestro > MCP Dashboard in Unity.
**For Code Maestro Desktop App:** Select the "Code Maestro Desktop App" connection mode.
**For other clients (VS Code, Cursor, etc.):** Select the "Other Clients" connection mode, then click **Configure** next to your preferred client.

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.