MCP Servers

chathook

Enables AI agents to prompt users for input directly within the chat UI using MCP's elicitation capabilities, allowing for interactive multi-turn conversations without leaving the conversation interface.

README

chathook — AI 对话钩子 MCP Server

在 AI 完成任务后弹出原生输入对话框，让用户直接输入回复，保持对话不中断，直到用户明确结束。

工作原理

用户提问 → AI 处理任务 → AI 调用 chat_hook 工具
                                    ↓
                    弹出原生桌面对话框（输入框 + 提交按钮 + 倒计时）
                                    ↓
                     用户输入回复 / 关闭对话框结束
                                    ↓
                    工具返回用户输入 → AI 继续处理
                                    ↓
                        AI 再次调用 chat_hook ...
                                    ↓
                      用户关闭对话框 → 工具返回结束信号
                                    ↓
                         AI 结束回合，对话完成

安装

方式一：npx 从 npm 安装（推荐）

在 MCP 客户端的配置中添加：

{
  "mcpServers": {
    "chathook": {
      "command": "npx",
      "args": ["-y", "mcp-chathook"]
    }
  }
}

方式二：npx 从 GitHub 安装

{
  "mcpServers": {
    "chathook": {
      "command": "npx",
      "args": ["-y", "github:kedaya2025/mcp-chathook"]
    }
  }
}

方式三：本地运行

git clone https://github.com/kedaya2025/mcp-chathook.git
cd mcp-chathook
npm install
npm run build

{
  "mcpServers": {
    "chathook": {
      "command": "node",
      "args": ["<path-to>/mcp-chathook/dist/index.js"]
    }
  }
}

使用方法

系统提示词配置

在 AI Agent 的系统提示词 / 自定义指令中添加：

所有对话或任务结束时，都必须调用 chathook 工具来向用户确认工作进程，
除非用户结束该工具的调用视为任务完成不再调用。

License

MIT

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