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Let a local LLM collect user guidance through native desktop pop-up dialogs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-pop-up" yet — see the docs or source repo.
Before deleting old log files, do not execute immediately. First show a desktop dialog titled “Confirm Log Cleanup,” explain that logs older than 30 days will be deleted, and provide two options: “Continue” and “Cancel.” If the user cancels, stop all further actions.
The AI opens a native pop-up for confirmation, then proceeds or stops based on the user's choice.
If I ask, “Generate a weekly project report,” but do not provide the project name or date range, show a desktop input dialog asking for the project name, start date, and end date. After receiving the details, generate the report.
The AI gathers missing parameters through a free-text pop-up, then outputs a complete weekly report.
When creating a study plan for me, first present three options—“Intensive,” “Balanced,” and “Light”—through a desktop pop-up. After I choose one, generate the matching study plan.
The AI first shows a multiple-choice pop-up to collect preference, then generates a customized plan accordingly.
Let AI collect user choices through interactive browser popup dialogs.
Chat with AI to retrieve documents and trigger MCP-powered tools.
Help MCP clients remember preferences and retrieve key context across chats.
Route AI responses by confidence and delegate generation to local models.
Build, debug, and manage software tasks with natural language across LLMs.
Demo MCP server for calculations, time checks, notes, and code review prompts.