ASKME-CLI

An MCP (Model Context Protocol) server that provides user confirmation interface for AI assistants

简体中文 | 日本語

Why

AI assistants often need user confirmation or next steps, but there's no simple way to get user input during MCP conversations.

This project provides a personal confirmation endpoint via terminal interface.

How to start

You will need to configure your MCP client to use ASKME-CLI.

Deploy the configuration using the instructions below.

Quick Setup with npx

# View help and configuration examples
npx askme-cli help

# Run directly (when called by MCP client)
npx askme-cli

Configure MCP Client

Add to your MCP client configuration file:

Cursor (.cursor/mcp_servers.json)

{
  "mcpServers": {
    "askme-cli": {
      "command": "npx",
      "args": ["askme-cli"],
      "env": {
        "ASKME_CLI_TERMINAL": "warp"
      }
    }
  }
}

Other MCP Clients

{
  "mcpServers": {
    "askme-cli": {
      "command": "npx",
      "args": ["askme-cli"],
      "env": {
        "ASKME_CLI_TERMINAL": "iterm2"
      }
    }
  }
}

Local Development

# Clone and install
git clone <your-repo-url>
cd askme-cli
npm install

# Build and run
npm run build
npm run start

How to use

Once configured, the AI assistant can use the ask_me tool to collect user confirmation:

1. AI assistant calls ask_me tool with summary of completed work
2. ASKME-CLI opens a new terminal window with confirmation interface
3. User enters next plan or confirmation and submits
4. AI assistant receives user input to continue

Terminal Support

Configure via ASKME_CLI_TERMINAL environment variable:

| Terminal | Value | Description | |----------|-------|-------------| | Warp | warp | Default, modern terminal app | | iTerm2 | iterm2 | Popular macOS terminal | | Terminal | terminal | macOS system terminal | | Kitty | kitty | Cross-platform terminal | | Alacritty | alacritty | GPU-accelerated terminal | | Hyper | hyper | Web-based terminal |

API Reference

ask_me Tool

Collects user's next plan or confirmation.

Parameters:

• what_we_did (string): Summary of work completed by AI

Returns:

• User's input for next plan or confirmation
• Supports text and image input

Usage Examples

AI Assistant Integration

To use ASKME-CLI effectively in your AI assistant, add these rules to your system prompt:

- Must call the askme-cli.ask_me tool before ending any user prompt every time.
- All prompts starting with /tk, don't modify code or files, and call the askme-cli.ask_me tool before ending.
- When you have questions, always call the askme-cli.ask_me tool before ending.
- If you have ideas for new features or changes, explain them clearly, analyze their feasibility, and ask if I want to proceed.

Example Tool Call

{
  "tool": "ask_me",
  "parameters": {
    "what_we_did": "I've completed setting up the database schema and created the user authentication endpoints. The API is now ready for testing."
  }
}

Tech Stack

• TypeScript - Type-safe development
• React + Ink - Terminal UI framework
• MCP SDK - Model Context Protocol support
• Node.js - Runtime environment

License

MIT