WindowsPC-MCP (ShikeChen01/WindowsPC-MCP) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 25 tools. No publisher has claimed this listing.

C
Caution
74/100

WindowsPC-MCP

Gives AI agents their own virtual display on Windows, enabling isolated clicking, typing, and screenshots without interfering with the user's desktop.

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

ShikeChen01

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

Install from

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// tools this server exposes23 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

App
Clipboard
FileSystem
Click
Type
Move
Scroll
Shortcut
Wait

Pause execution for the specified number of seconds (clamped to [0.1, 30]).

InputStatus

Check the current input mode and whether the agent can send input.

MultiSelect
MultiEdit
Notification

Show a Windows toast notification with a title and message.

Process
Registry
Scrape
CreateScreen
DestroyScreen

Destroy the agent virtual display, desktop isolation, and viewer.

ScreenInfo
RecoverWindow
Screenshot
Snapshot
PowerShell
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

25/25 tools missing one or more hints — App (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); Clipboard (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); FileSystem (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +22 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Destructive tools are labelled

1 tool perform destructive updates without destructiveHint — FileSystem deletes at line 73 (shutil.rmtree(path))

Add destructiveHint:true to any tool whose handler calls .delete(), .upsert(), .update(), unlink, rm, DELETE, DROP, REPLACE INTO, or any operation that overwrites existing data.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
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commit: 28ba4e087a887708ff5be171e20c24ba2b0d6d40
code hash: d56f5fcea711c6547d96c664e2a09bd8642894edd9ff1e0ecb4a74276f3bfec6
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