github Python analyzed 11032f2

mukul975/mcp-windows-automation

github

🚀 AI-Powered Windows Automation Server using Model Context Protocol (MCP) | Control Windows apps, automate tasks, and manage systems through natural language commands with Claude, ChatGPT & other AI assistants | 80+ automation tools

maintainer
mukul975
license
MIT
first seen
2026-06-01
last seen
2026-06-04
releases · 30d
0
short id
risk 54/100 · heuristic grade
C elevated
  • capability exposure inferred + 35
  • tool safety inferred + 19

inferred

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

graded 5m ago · see ecosystem CVEs →

risk trajectory 4 movements
  • C · 42 C · 54
  • C · 35 C · 42
  • B · 26 C · 35
  • A · 0 B · 26
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 3 findings · grade factor +19
  1. high tool shadowing run_command

    tool "run_command" shadows a verified server's tool

    shadows CSOAI-ORG/code-executor-mcp

  2. medium toxic flow (lethal trifecta)

    lethal trifecta reachable across this server's tools: private-data access + untrusted-content ingestion + network exfil

  3. low exfiltration combo

    sensitive read and network capabilities split across this server's tools

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:mukul975/mcp-windows-automation/badge.svg)](https://mcpobservatory.com/servers/github:mukul975/mcp-windows-automation/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of mukul975.