askme-cli

askme-cli

An MCP server that provides a user confirmation interface for AI assistants via terminal.

Category
访问服务器

README

[!NOTE] We'd love your help! If you try askme-cli on Windows or have compatibility fixes, PRs are very welcome👏.

npm GitHub license GitHub stars npm downloads

<div align="center">

ASKME-CLI

🤖 💬 ⚡ 🚀 ✨

</div>

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

简体中文 | 日本語

<img src="https://github.com/user-attachments/assets/da71a4cc-69d6-459f-b0f3-7c64d2f22854" style="max-width: 100%; width: 800px;" alt="Usage">

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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选