WindowsPC-MCP CLAUDE.md

WindowsPC-MCP CLAUDE.md is an instructions file for coding agents from ShikeChen01/WindowsPC-MCP. It costs 1,768 tokens per session, scanned A, original, MIT.

Repository instructions for WindowsPC-MCP, a server that lets an AI agent interact with a separate virtual Windows display while a person can monitor or stop it.

In plain words
What is it for?
Use them when installing, running, testing, or changing WindowsPC-MCP.
Why use it?
They explain the required installation, display-capture build, run modes, and tests in one place.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/shikechen01/windowspc-mcp/claude-md
Clone the repo
git clone --depth 1 https://github.com/ShikeChen01/WindowsPC-MCP

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for WindowsPC-MCP CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/shikechen01/windowspc-mcp/claude-md.svg)](https://agentmods.dev/instructions/shikechen01/windowspc-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/shikechen01/windowspc-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/shikechen01/windowspc-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,768 This file is loaded in full into every session.
When invoked 1,768 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.01768 $0.01768
Opus 5 $0.00884 $0.00884
Sonnet 5 $0.00354 $0.00354
Haiku 4.5 $0.00177 $0.00177

Measured 5d ago against content hash 0543d2915adb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

WindowsPC-MCP CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

What This Is

WindowsPC-MCP is a FastMCP server that confines an AI agent's GUI interaction to a Parsec VDD virtual display. The agent gets its own screen with independent cursor/focus — it can only click/type/scroll on its virtual display, but can read all screens for context. As of v0.6.0, a PyQt6 control UI auto-launches alongside the server so the human user can monitor and intervene (Pause / Resume / Join / Stop / Screen-select).

Commands

# Install (PyQt6 mandatory as of v0.6.0)
pip install -e ".[dev]"

# Build the DXGI capture DLL (one-time, needs cl.exe or g++)
cd src/windowspc_mcp/desktop && see BUILD_CAPTURE_DXGI.md

# Run server
windowspc-mcp --transport stdio
windowspc-mcp --transport sse --host localhost --port 8000
windowspc-mcp --no-ui                          # headless (CI / gateways)

# Tests (~1300 tests)
python -m pytest tests/                        # all tests
python -m pytest tests/desktop/                # desktop isolation tests
python -m pytest tests/ui/                     # PyQt6 UI tests (pytest-qt)
python -m pytest tests/confinement/            # confinement tests
python -m pytest tests/display/                # display driver tests
python -m pytest tests/ipc/                    # IPC layer tests
python -m pytest tests/smoke/                  # smoke tests (need VDD hardware)
python -m pytest tests/desktop/test_gate.py -v # single file, verbose
python -m pytest -k "test_switch_to_agent"     # single test by name

# Verify UI builds + renders headlessly
python tools/ui_smoke.py tools/ui_smoke.png

# Lint
ruff check src tests
ruff check --fix src tests

Architecture

Request Flow

MCP Tool call (Click, Type, etc.)
    → guarded_tool decorator (confinement/decorators.py)
        → ToolGuard.check() (state + bounds validation)
            → ConfinementEngine.validate_and_translate() (agent-relative → absolute coords)
                → AgentInputService (input/service.py) → Win32 SendInput

Read the full file on GitHub · 127 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 127 lines · 1,768 tokens per session scan A 0543d2915adb

Subscribe to this mod's changes

WindowsPC-MCP CLAUDE.md is an instructions file published in the GitHub repository ShikeChen01/WindowsPC-MCP (1 stars, last pushed 3mo ago), licensed MIT. It adds 1,768 tokens to every session, about $0.0088 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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