# TouchDesigner

> Use this tool when you need to control and automate TouchDesigner projects in real time, solving problems such as dynamic node management, parameter tweaking, and data access. It provides a WebSocket interface for AI assistants to input commands and receive outputs, enabling seamless integration with TouchDesigner 2024+ and Python 3.11+. Ideal for use cases requiring automated workflow management, custom tool creation, and real-time rendering control.

Canonical page: https://skillsregistry.net/skills/gh-benoitliard-touchdesigner  
JSON: https://api.skillsregistry.net/v1/skills/gh-benoitliard-touchdesigner

## Description

This MCP server enables AI assistants to control TouchDesigner in real time through a WebSocket connection to the TouchMCPBridge component installed in the TD project. It provides 37 tools spanning node creation and wiring, parameter manipulation, data access, Python script execution, timeline control, rendering, and layout management. Requires TouchDesigner 2024+ and Python 3.11+.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-benoitliard-touchdesigner)
- **Repository:** <https://github.com/benoitliard/touch-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gh-benoitliard-touchdesigner"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-benoitliard-touchdesigner` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-benoitliard-touchdesigner/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt