# computer-control-mcp

> Use this tool when you need to automate interactions with a computer or simulate user input for tasks such as data entry, GUI navigation, or automated testing. It solves problems like automating repetitive tasks, interacting with legacy systems, and integrating with applications that lack APIs. The tool accepts inputs like mouse and keyboard commands, OCR data, and screen/window management instructions, and outputs controlled computer interactions.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-computer-control-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-computer-control-mcp

## Description

Enables computer control via mouse, keyboard, OCR, and screen/window management, similar to Anthropic's computer-use.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vv7f5hcrno)
- **Repository:** <https://github.com/fastmcp-me/computer-control-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": "fastmcp-me-computer-control-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-computer-control-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-computer-control-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