Qinglong MCP Server

Qinglong MCP Server

Enables interaction with Qinglong Panel (青龙面板) to query, execute, and monitor scheduled tasks and subscriptions, including viewing task lists, running tasks synchronously or asynchronously, retrieving execution logs and status.

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README

青龙面板 MCP Server

PyPI version

这是一个 Model Context Protocol (MCP) server，用于查询和执行青龙面板中的定时任务。

说明：本仓库包含源代码，供开发者参考。普通用户请直接通过 pip 或 uvx 安装使用。

功能

  • list_qinglong_tasks: 查询青龙面板中的所有定时任务列表
  • run_task: 执行任务并等待完成，自动返回执行日志（最多等待30秒）
  • run_task_async: 异步启动任务，不等待执行完成
  • get_task_logs: 获取青龙面板中指定任务的执行日志
  • get_task_status: 获取青龙面板中指定任务的执行状态
  • list_subscriptions: 查询青龙面板中的所有订阅列表
  • run_subscription: 运行指定的订阅

安装

使用 pip 安装：

pip install qinglong-mcp-server

或使用 uvx（推荐，无需安装）：

uvx qinglong-mcp-server

配置

首次运行时会自动创建配置文件模板。

编辑配置文件：

macOS/Linux:

nano ~/.qinglong-mcp/.env

Windows:

notepad %USERPROFILE%\.qinglong-mcp\.env

填入你的青龙面板信息：

QINGLONG_URL=https://your-qinglong-url.com
CLIENT_ID=your_client_id
CLIENT_SECRET=your_client_secret

使用

在 MCP 客户端中使用

编辑 MCP 配置文件，添加以下内容：

{
  "mcpServers": {
    "qinglong": {
      "command": "uvx",
      "args": ["qinglong-mcp-server"]
    }
  }
}

配置文件位置（以 Kiro CLI 为例）：

  • ~/.kiro/settings/mcp.json

开发测试

运行测试脚本：

./test_query_tasks.py

升级

pip install -U qinglong-mcp-server

项目地址

  • PyPI: https://pypi.org/project/qinglong-mcp-server/
  • GitHub: https://github.com/pholex/qinglong-mcp-server

联系方式

Email: pholex@gmail.com

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