# TouchDesigner AI Companion

> Use this tool when you need to analyze and troubleshoot TouchDesigner node networks, as it provides context-aware diagnosis and suggestions through screenshot capture and AI-powered analysis. It solves problems related to node network optimization, error identification, and workflow improvement. The tool takes node network screenshots as input and outputs actionable insights and recommendations via the MCP tools interface.

Canonical page: https://skillsregistry.net/skills/lindaeng-mcp-touch  
JSON: https://api.skillsregistry.net/v1/skills/lindaeng-mcp-touch

## Description

Enables users to capture TouchDesigner node network screenshots and ask Claude for context-aware analysis, diagnosis, and suggestions via MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s5ptjg7ms8)
- **Repository:** <https://github.com/LindaEng/mcp_touch>

## 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": "lindaeng-mcp-touch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lindaeng-mcp-touch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lindaeng-mcp-touch/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