Unity-AI-ParticleSystem vs filesystem

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

	Unity-AI-ParticleSystem by IvanMurzak	filesystem by modelcontextprotocol
Stars	★ 36	★ 85,748
30d uses	—	—
Score	44	77
Official	—	✓
Categories	Developer ToolsAI / LLM ToolsMedia	File SystemDeveloper ToolsProductivity
Language	C#	TypeScript
Last commit	this month	this month

Unity-AI-ParticleSystem · Summary

AI-powered Unity Particle System manipulation through natural language commands via MCP protocol.

filesystem · Summary

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

Unity-AI-ParticleSystem · Use cases

Rapid prototyping of particle effects in Unity game development
Streamlining complex particle system configurations without manual inspector navigation
Procedural generation of particle effects through natural language commands

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

Unity-AI-ParticleSystem · Install

Installation

Option 1 - Installer

[Download Installer](https://github.com/IvanMurzak/Unity-AI-ParticleSystem/releases/latest/download/AI-ParticleSystem-Installer.unitypackage)
Import installer into Unity project

- You can double-click on the file - Unity will open it automatically - OR: Open Unity Editor first, then click on Assets/Import Package/Custom Package, and choose the file

Option 2 - OpenUPM-CLI

[Install OpenUPM-CLI](https://github.com/openupm/openupm-cli#installation)
Open the command line in your Unity project folder

openupm add com.ivanmurzak.unity.mcp.particlesystem

Claude Desktop Configuration

Add to your Claude Desktop config.json:

{
  "mcpServers": {
    "unity-particle-system": {
      "command": "path/to/unity-mcp-server",
      "args": []
    }
  }
}

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.