screengrab-tool-mcp
Lets an LLM see what's on your screen by capturing an entire monitor or a specific application window.
README
screengrab-tool-mcp
A small Model Context Protocol server that
lets an LLM see what's on your screen — either an entire monitor or a
specific application window. The screen-capture tool is cross-platform; the
window-level tools are Windows-only and use pywin32 under the hood.
Built with the official mcp Python SDK, mss
for fast cross-platform capture, and Pillow for image processing. Packaged with
uv so it runs with one command via uvx.
Tools
capture_screen (cross-platform)
Capture an entire monitor and return a downsized PNG.
| Parameter | Type | Default | Description |
|---|---|---|---|
delay_seconds |
integer | 0 |
Seconds to wait before capturing. Range 0–60. |
display_index |
integer | 1 |
0 = all monitors stitched, 1 = primary, 2 = secondary, etc. Out-of-range values fall back to primary. |
list_windows (Windows-only)
Enumerate visible top-level windows on the desktop, sorted most-recently-focused
first. Returns a JSON array of {hwnd, title, process, pid} so the model can
pick the one it wants. No parameters.
capture_window (Windows-only)
Capture a specific window matched by query string.
| Parameter | Type | Default | Description |
|---|---|---|---|
query |
string | required | Title substring (case-insensitive) tried first; then process name (e.g. "code" matches Code.exe). Most recently focused wins on multi-match. |
remember_as |
string | Optional friendly name to store the resolved window under for the rest of this server process. Recall later via capture_remembered. |
|
delay_seconds |
integer | 0 |
Seconds to wait before capturing. Range 0–60. |
The capture pipeline tries PrintWindow first (no focus disturb). If that
returns a near-blank frame — common with hardware-accelerated apps like
browsers and Electron — it falls back to briefly bringing the window forward,
grabbing its rect with mss, then restoring the previous foreground window.
capture_remembered (Windows-only)
Capture a previously remembered window by friendly name.
| Parameter | Type | Default | Description |
|---|---|---|---|
name |
string | required | The name passed to capture_window's remember_as. last is always valid after the first successful window capture. |
delay_seconds |
integer | 0 |
Seconds to wait before capturing. Range 0–60. |
Aliases live in process memory only — they vanish when the server restarts.
save_last_capture
Persists a recent capture from the in-memory ring buffer to a file in the workspace. Captures from capture_screen, capture_window, and capture_remembered are pushed into a 5-slot ring as a side effect; this tool writes one of them to disk.
| Parameter | Type | Default | Description |
|---|---|---|---|
index |
int | 0 |
Ring slot. 0 = most recent. Max 4. |
name |
str | (auto) | Filename (no path separators). .png appended if missing. |
dir |
str | (env or ./screenshots/) |
Destination directory. |
Directory resolution: dir arg → SCREENGRAB_SAVE_DIR env var → ./screenshots/. Auto-created if missing. Filename collisions auto-suffix (foo.png → foo-1.png).
Returned images are downscaled with Pillow.Image.thumbnail((2000, 2000))
before being base64-encoded as a PNG, so you don't blow up the context window
with a raw 4K screen grab.
Install / run
You don't need to install anything globally. With uv
present on your PATH, the server runs straight from a local checkout via
uvx:
# from inside the project directory
uvx --from . screengrab-tool-mcp
Or, once published to PyPI:
uvx screengrab-tool-mcp
The server speaks MCP over stdio. All logs go to stderr — never stdout — so it's safe to pipe directly into an MCP client.
Adding it to your MCP client
Claude Code (CLI)
claude mcp add screengrab -- uvx --from C:/Users/mahaffey/screengrab-tool-mcp screengrab-tool-mcp
Or, if installed from PyPI:
claude mcp add screengrab -- uvx screengrab-tool-mcp
To remove it later:
claude mcp remove screengrab
Claude Desktop
Edit your claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"screengrab": {
"command": "uvx",
"args": ["--from", "C:/Users/mahaffey/screengrab-tool-mcp", "screengrab-tool-mcp"]
}
}
}
Once published to PyPI, simplify to:
{
"mcpServers": {
"screengrab": {
"command": "uvx",
"args": ["screengrab-tool-mcp"]
}
}
}
VS Code / GitHub Copilot
Add to your .vscode/mcp.json (workspace) or user-level mcp.json:
{
"servers": {
"screengrab": {
"type": "stdio",
"command": "uvx",
"args": ["--from", "C:/Users/mahaffey/screengrab-tool-mcp", "screengrab-tool-mcp"]
}
}
}
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"screengrab": {
"command": "uvx",
"args": ["screengrab-tool-mcp"]
}
}
}
Development
# install dependencies into a local venv
uv sync
# run directly
uv run screengrab-tool-mcp
# or run the module
uv run python -m screengrab_tool_mcp.server
Project layout
screengrab-tool-mcp/
├── pyproject.toml # uv / hatchling packaging + script entry point
├── README.md
├── src/
│ └── screengrab_tool_mcp/
│ ├── __init__.py
│ ├── server.py # MCP wiring, tool dispatch, stdio entry
│ ├── capture.py # capture_screen and capture_window pipelines
│ ├── windows.py # Win32 enumeration and query resolution
│ └── aliases.py # in-memory window-alias store
└── tests/
├── test_aliases.py
├── test_windows.py
└── test_capture.py
Notes & gotchas
- stdout is sacred. The MCP stdio transport multiplexes JSON-RPC over
stdout. The server configures
logging.basicConfig(stream=sys.stderr, ...)for exactly this reason. If you addprint(...)calls, route them tosys.stderror you will crash the connection. - Permissions on macOS. macOS requires the parent process (Claude Desktop, VS Code, Terminal, etc.) to have Screen Recording permission in System Settings → Privacy & Security. Grant it once and restart the host.
- Wayland on Linux.
mssuses X11. On a pure-Wayland session, capture will be limited to the Xwayland surface; XWayland or an X11 session works best. - Display indexing.
mssusesmonitors[0]for the virtual all-monitors rectangle andmonitors[1..N]for individual displays. Index1is the primary display. - Window tools are Windows-only.
list_windows,capture_window, andcapture_rememberedusepywin32and assume a real interactive desktop session. They will return a clear error on non-Windows hosts.capture_screenremains cross-platform.
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。