# Grasp MCP Server

> Grasp MCP Server — jamshed7470-grasp-mcp. Use this tool when you need to automate Windows desktop tasks through natural language, enabling screen capture, precise mouse and keyboard input, and PowerShell command execution. It solves problems related to local desktop automation, providing a seamless interface for AI agents like Claude to interact with Windows environments. With inputs via natural language and outputs through direct desktop control, it's ideal for use cases requiring hands-on automation of Windows applications and tasks.

Canonical page: https://skillsregistry.net/skills/jamshed7470-grasp-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jamshed7470-grasp-mcp

## Description

A Windows desktop control MCP server that gives Claude eyes and hands—screen capture with coordinate-grid overlays, pixel-perfect DPI-correct mouse/keyboard input via a Rust backend, and direct PowerShell command execution, enabling full local desktop automation through natural language.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cbpd55mzj4)
- **Repository:** <https://github.com/Jamshed7470/grasp-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": "jamshed7470-grasp-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamshed7470-grasp-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamshed7470-grasp-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