# sonu-davinceResolve-mcp

> Use this tool when you need to integrate large language models (LLMs) with desktop automation tasks, such as mouse and keyboard control, to automate complex workflows. It solves problems of concurrent task execution by providing exclusive task locking, ensuring seamless automation. The tool takes LLM inputs and outputs automated desktop actions, making it ideal for use cases requiring coordinated AI-driven automation.

Canonical page: https://skillsregistry.net/skills/s-onu112-sonu-davinceresolve-mcp  
JSON: https://api.skillsregistry.net/v1/skills/s-onu112-sonu-davinceresolve-mcp

## Description

An MCP server that connects LLMs (Ollama, OpenAI, Anthropic) with desktop automation (mouse, keyboard, screenshots) using PyAutoGUI, with exclusive task locking to prevent concurrent execution.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e47ldwzzqe)
- **Repository:** <https://github.com/S-onu112/sonu-davinceResolve-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": "s-onu112-sonu-davinceresolve-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/s-onu112-sonu-davinceresolve-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/s-onu112-sonu-davinceresolve-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