# overlay-companion-mcp

> overlay-companion-mcp — ryansopensourcerice-overlay-companion-mcp. Use this tool when you need to augment human screen interactions with AI assistance, automating repetitive tasks and enhancing productivity. It solves problems such as streamlining workflow, reducing manual errors, and improving overall efficiency in various applications. The overlay-companion-mcp toolkit accepts user input and screen data, generating automated actions and workflows as output, ideal for use cases involving git version control and other general-purpose tasks.

Canonical page: https://skillsregistry.net/skills/ryansopensourcerice-overlay-companion-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ryansopensourcerice-overlay-companion-mcp

## Description

A general-purpose, human-in-the-loop AI-assisted screen interaction toolkit.

## 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:** GPL-3.0
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/RyansOpenSourceRice/overlay-companion-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": "ryansopensourcerice-overlay-companion-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ryansopensourcerice-overlay-companion-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ryansopensourcerice-overlay-companion-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