Embody vs filesystem

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

	Embody by dylanroscover	filesystem by modelcontextprotocol
Stars	★ 102	★ 85,748
30d uses	—	—
Score	47	77
Official	—	✓
Categories	Developer ToolsMediaAI / LLM Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

Embody · Summary

MCP server for TouchDesigner that lets AI assistants build, wire, and debug networks with natural language commands.

filesystem · Summary

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

Embody · Use cases

AI-assisted visual programming in TouchDesigner without manual operator creation
Version control and branching of complex visual projects through diffable network files
Debugging TouchDesigner networks through natural language commands to AI assistants

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

Embody · Install

Installation

Download the Embody .tox from the [release page](https://github.com/dylanroscover/Embody/releases)
Drag it into your TouchDesigner project
Tag operators by selecting any COMP or DAT and pressing lctrl twice
Enable the Envoy MCP server by toggling the Envoyenable parameter on the Embody COMP

The server starts on localhost:9870 and auto-creates a .mcp.json in your repo root.

For Claude Code integration, the .mcp.json should look like:

{
  "mcpServers": {
    "envoy": {
      "type": "http",
      "url": "http://localhost:9870/mcp"
    }
  }
}

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.