Q-Scheduler — MCP Servers

Overview

Orchestrates and manages diverse automated tasks, including shell commands, API calls, AI content generation, and desktop reminders, with flexible cron-based scheduling. This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to Q-Scheduler's capabilities. The server enables seamless interaction between LLMs and the underlying services through standardized protocols. Key integration points include: - Direct API access through MCP tools - Structured data exchange with AI agents - Real-time interaction capabilities - Standardized protocol compliance The server is designed to work with popular MCP clients like Claude Desktop, Cursor, and other AI development environments.

Key Features

Use Cases