# MADRIX MCP

> Use this tool when you need to automate and control LED lighting setups with precision, solving problems such as complex lighting design and synchronization. It provides over 100 tools for managing lighting effects, timelines, and audio via the MADRIX Remote HTTP interface. Ideal for use in live events, installations, and performances requiring dynamic and interactive lighting control.

Canonical page: https://skillsregistry.net/skills/drohi-r-madrix-mcp  
JSON: https://api.skillsregistry.net/v1/skills/drohi-r-madrix-mcp

## Description

Enables AI-driven control of MADRIX LED lighting software, providing over 100 tools for storage, layer, cue list, timeline, audio, output, and color management via the MADRIX Remote HTTP interface.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dn97oim4a7)
- **Repository:** <https://github.com/drohi-r/madrix-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": "drohi-r-madrix-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/drohi-r-madrix-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/drohi-r-madrix-mcp/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