MCP Scheduler

Name: MCP Scheduler
Author: PhialsBasement

@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

基本信息

分类

生产力

许可证

MIT license

运行时

python

传输方式

stdio

发布者

PhialsBasement

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"
      ]
    }
  }
}

工具

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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

FAQ from MCP Scheduler

What are the prerequisites for MCP Scheduler?

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

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).

What transport modes does MCP Scheduler support?

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

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).