# resolume-mcp

> resolume-mcp — sandraschi-resolume-mcp. Use this tool when you need to control Resolume Arena or Avenue for live visuals, managing clips, layers, and decks via FastMCP. It solves problems of manual control and synchronization for VJ performances, providing a streamlined interface for Cursor or Claude Desktop users. Ideal for live events, concerts, and multimedia shows, it takes input from FastMCP and outputs seamless visual control.

Canonical page: https://skillsregistry.net/skills/sandraschi-resolume-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sandraschi-resolume-mcp

## Description

Resolume Arena/Avenue VJ control via FastMCP — clips, layers, decks for live visuals. For Cursor / Claude Desktop.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/sandraschi/resolume-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": "sandraschi-resolume-mcp"
    }
  }
}
```

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

---
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
