Prompt for User Input MCP Server
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., "@Prompt for User Input MCP Serverask me for the API key to proceed"
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.
Prompt for User Input MCP Server
A Model Context Protocol (MCP) 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.
Suggested System Prompt
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 have finished the work, always communicate with the user using this MCP. The prompts you give the user must be simple. It's fine if they contain a lot of information, but they must not be in Markdown since it will not render properly. The prompts should be written almost entirely in prose.Related MCP server: Interactive Feedback MCP
Command
Run the server:
uv run uvicorn mcp_server:app --port 4444Environment Variables
Both the MCP server and the Cursor MCP configuration require the following environment variable:
PROMPT_FOR_USER_INPUT_MCP_AUTH_TOKEN=<your-authentication-token>This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- Alicense-qualityDmaintenanceEnables AI assistants to request human input through a web interface, allowing them to pause execution and wait for responses via interactive tools like single questions, multiple choice selections, hypothesis challenges, and decision workflows.Last updated162MIT
- Alicense-qualityDmaintenanceEnables AI coding assistants like Cursor and Claude to engage in real-time two-way dialogue, allowing them to pause for clarification and request user confirmation before executing tasks. It features a modern UI for managing interaction prompts, predefined options, and project analysis to reduce errors and API costs.Last updated15MIT
- Alicense-qualityFmaintenanceEnables AI assistants to request user input through interactive popups in VS Code, supporting button selections, text inputs, and confirmation dialogs. This system allows for seamless human-in-the-loop interactions without interrupting the conversational flow.Last updated4The Unlicense
- AlicenseAqualityDmaintenanceEnables human-in-the-loop interaction for AI coding workflows through native desktop dialogs that present route choices, text input, and image annotation capabilities when AI assistants encounter decision points.Last updated12MIT
Related MCP Connectors
Human-in-the-loop for AI coding agents — ask questions, get approvals via Slack.
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/goldensansapple/prompt-for-user-input-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server