mcp-pop-up
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-pop-upAsk me how to proceed with the current task."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-pop-up
An MCP server that lets a local LLM ask you for guidance through a native desktop pop-up — just like the question prompts Claude shows in the app.
The model calls a single tool, ask_user, with a question and up to 6
suggested answers. An "Other" free-text choice is always added automatically,
and the model decides whether you may pick one answer (radio buttons) or
several (checkboxes). Your choice is returned to the model so it knows how to
proceed.
Built for LM Studio, but it works with any MCP client that speaks stdio.
How it works
LM Studio ─stdio─► mcp_pop_up.server ─subprocess─► mcp_pop_up.dialog (tkinter)
▲ │
└────────────── "The user selected: …" ◄─────────────────┘The server exposes the ask_user tool. When called, it launches the dialog in a
short-lived subprocess to render the Tk window. Running the GUI in its own
process keeps the blocking Tk event loop from colliding with the server's async
loop, and works reliably across Windows, macOS, and Linux.
The code is split so each module has one job:
Module | Responsibility |
| Request/result data model — validation, JSON (de)serialization, and result formatting. The single source of truth for the contract; depends on neither |
| The FastMCP server and the |
| Launches the dialog subprocess and parses its result. |
| The |
| Subprocess entry point: stdin → dialog → stdout. |
| Thin launcher so clients can point at a file path without installing. |
Related MCP server: Flag MCP
The ask_user tool
Argument | Type | Default | Description |
| string | — | The question shown to the user (required). |
| string[] |
| Up to 6 suggested answers. May be empty for an open-ended question. |
| boolean |
|
|
An "Other (type your own answer)" choice with a text box is always appended, so the user is never limited to the options you provide.
Returns a short human-readable summary, e.g.:
The user selected: Wait for reviewThe user selected 2 options:\n- Lint\n- BuildThe user selected: Refactor the parser first(typed into "Other")The user cancelled the pop-up without choosing an answer.
Requirements
Python 3.10+
tkinter — bundled with the standard Python installers on Windows and macOS. On Linux install it separately:
sudo apt install python3-tk # Debian/Ubuntu sudo dnf install python3-tkinter # FedoraThe
mcpPython SDK (installed below).
Install
git clone https://github.com/GiantBeaver9/mcp-pop-up.git
cd mcp-pop-up
pip install -r requirements.txt # just the runtime dep, or:
pip install -e . # installs the `mcp-pop-up` command tooVerify it starts (Ctrl-C to stop — it waits silently for a client on stdio):
python server.py # via the file-path launcher, or:
python -m mcp_pop_up # via the package, or:
mcp-pop-up # via the console script (after `pip install -e .`)Configure LM Studio
LM Studio manages MCP servers through its mcp.json file
(Program → Edit mcp.json, or the "Integrations" / MCP settings panel).
Add this entry, using an absolute path to the launcher:
{
"mcpServers": {
"pop-up": {
"command": "python",
"args": ["/absolute/path/to/mcp-pop-up/server.py"]
}
}
}On Windows, use python (or the full path to python.exe) and a full path such
as C:\\Users\\you\\mcp-pop-up\\server.py.
The root server.py launcher works without installing the package. If you ran
pip install -e ., you can instead use "command": "mcp-pop-up", "args": [], or
"args": ["-m", "mcp_pop_up"].
Reload the MCP servers in LM Studio. The ask_user tool should now appear and
be available to the model. Ask your model something like "Ask me whether to
deploy now or wait, then act on my answer" to see the pop-up.
Tip: Make sure LM Studio runs the same Python interpreter that has both
mcpandtkinterinstalled — the server launches the dialog with that same interpreter.
Use with other MCP clients
Any stdio MCP client works. Point it at python /absolute/path/to/server.py.
Project layout
mcp-pop-up/
├── server.py # thin launcher (point MCP clients here)
├── pyproject.toml # packaging + `mcp-pop-up` console script
├── requirements.txt # runtime dependency (mcp)
└── mcp_pop_up/
├── __main__.py # `python -m mcp_pop_up` → server
├── protocol.py # request/result model: validation + JSON + formatting
├── server.py # FastMCP server + the `ask_user` tool
├── runner.py # launches the dialog subprocess, parses its result
└── dialog/
├── __main__.py # subprocess entry: stdin → dialog → stdout
└── view.py # PopupDialog tkinter windowTroubleshooting
GUI is unavailable: No module named 'tkinter'— install tkinter for the interpreter LM Studio uses (see Requirements).No window appears — the pop-up shows on the machine running the server. It needs a desktop session; it won't display over a headless SSH connection.
Tool doesn't show up in LM Studio — double-check the absolute path in
mcp.jsonand reload the MCP servers.
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