Enables AI models to prompt users for input directly within their code editor for interactive conversations.
An MCP (Model Context Protocol) server that enables AI models to prompt users for input directly through their code editor. This creates an interactive experience where AI assistants can ask questions, request clarification, or gather information from users in real-time during conversations.
IMPORTANT - Do not finish responding until explicitly told to do so, instead always use the MCP `prompt_for_user_input`. If you feel stuck, are experiencing issues, have a question, or you are finished with the work, always communicate with the user using this MCP.
# Clone the repository
git clone https://github.com/goldensansapple/prompt-for-user-input-mcp.git
cd prompt_for_user_input_mcp
# Install Python dependencies
pip install -r requirements.txt
# From the project root directory
py mcp_server.py
# Or with custom options
py mcp_server.py --host 127.0.0.1 --port 8000 --timeout 900 --vscode-port 3001
The server will start on http://127.0.0.1:8000
by default.
Add the MCP server configuration to your Cursor settings with the button below.
OR Create or update your MCP configuration file with:
{
"mcpServers": {
"prompt-for-user-input-mcp": {
"url": "http://127.0.0.1:8000/prompt-for-user-input-mcp/"
}
}
}
For Cursor, you can use the provided cursor-mcp-config.json
file as a reference, or use the one-click deeplink.
--host
: Host to run the server on (default: 127.0.0.1)--port
: Port to run the server on (default: 8000)--timeout
: Timeout in seconds for user responses (default: 900)--vscode-port
: Port where the VSCode extension is running (default: 3001)The VSCode extension port can be configured through the extension settings:
Important: Make sure the --vscode-port
argument matches the port configured in your VSCode extension settings.
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