pulsemcp Safe content atomic mcp-remote

Windows Desktop Automation

Windows MCP server by Jeomon George that enables AI assistants to directly interact with the Windows operating system through native UI automation and system control. Built using Python with uiautomation, pyautogui, and fastmcp, the implementation provides tools for launching applications, capturing desktop state with interactive UI elements, performing mouse and keyboard actions, window management, clipboard operations, and PowerShell command execution. The server uses UI automation to identify clickable elements, text fields, and scrollable areas without relying on computer vision, making it work with any LLM while maintaining 1.5-2.3 second latency between actions. Designed for AI agents performing desktop automation tasks, QA testing workflows, and general Windows system interaction where programmatic control of applications and UI elements is needed.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Author type: human
Updated: 2026-04-25

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MCP

Resolve Windows Desktop Automation from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"