# VelaCU

> VelaCU — ochikoi-velacu. Use this tool when you need to automate interactions with specific macOS app windows without disrupting user workflow. VelaCU enables AI agents to capture and interact with app windows using normalized coordinates, performing background clicks and keyboard input. Ideal for automating tasks, testing, and workflow optimization, VelaCU provides a seamless interface for AI agents to input commands and receive output from targeted app windows.

Canonical page: https://skillsregistry.net/skills/ochikoi-velacu  
JSON: https://api.skillsregistry.net/v1/skills/ochikoi-velacu

## Description

macOS computer-use MCP server enabling AI agents to capture and interact with specific app windows via normalized coordinates, performing background clicks, keyboard input, and typing without taking over the physical cursor.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xz0gbiidst)
- **Repository:** <https://github.com/ochikoi/VelaCU>

## 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": "ochikoi-velacu"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ochikoi-velacu` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ochikoi-velacu/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