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MCP Scheduler

@PhialsBasement

代码仓库

基本信息

分类

生产力

许可证

MIT license

传输方式

stdio

作者

PhialsBasement

关于 MCP Scheduler

MCP Scheduler is a task automation server that lets you schedule shell commands, API calls, AI tasks, and desktop notifications using cron expressions. Built with Model Context Protocol for seamless integration with Claude Desktop and other AI assistants.

#scheduler#task-automation#cron-jobs

MCP Scheduler 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "scheduler-mcp": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Scheduler 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Scheduler?

MCP Scheduler is a robust task scheduler server built with the Model Context Protocol (MCP) for scheduling and managing automated tasks. It supports shell commands, API calls, AI content generation via OpenAI, and desktop reminders with sound. The server uses cron expressions for flexible timing and provides a complete execution history.

How to use MCP Scheduler?

Install via uv or standard pip, then run python main.py with optional arguments (e.g., --transport sse --port 8080). Integrate with MCP clients like Claude Desktop by adding the server to its configuration file. Tasks are added via MCP tools such as add_command_task, add_api_task, add_ai_task, and add_reminder_task, each requiring a cron schedule and optional do_only_once flag.

Key features of MCP Scheduler

  • Supports shell commands, API calls, AI tasks, and desktop notifications
  • Uses standard cron syntax for precise scheduling
  • Allows run-once or recurring task execution
  • Tracks successful and failed task executions
  • Cross-platform (Windows, macOS, Linux)
  • Desktop alerts with sound for reminder tasks
  • Seamless MCP integration with AI assistants
  • Robust error handling with comprehensive logging

Use cases of MCP Scheduler

  • Schedule daily database backups with a shell command
  • Periodically fetch data from external APIs (e.g., weather)
  • Generate weekly reports automatically using OpenAI
  • Set recurring desktop reminders for team meetings

常见问题

1

What are the prerequisites for MCP Scheduler?

Python 3.10 or higher and either uv (recommended) or standard pip are required.

2

How do I configure MCP Scheduler?

Configuration can be done via command-line arguments (e.g., `--port`, `--db-path`), a JSON configuration file, or environment variables (e.g., `MCP_SCHEDULER_PORT`, `OPENAI_API_KEY`).

3

What transport modes does MCP Scheduler support?

The server supports SSE (Server-Sent Events) and stdio (standard input/output) transport modes.

4

How do I set up AI tasks in MCP Scheduler?

Provide an OpenAI API key via the `OPENAI_API_KEY` environment variable or the configuration file, and optionally set the AI model with `--ai-model` (default `gpt-4o`).

5

Can I schedule a one-time task with MCP Scheduler?

Yes, set the `do_only_once` parameter to `True` when adding a task, and it will execute only once at the scheduled time.

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