A robust task scheduler server built with Model Context Protocol for scheduling and managing various types of automated tasks including shell commands, API calls, AI tasks, and reminders.
Enables AI assistants to manage tasks with full lifecycle support including due dates, priorities, tags, subtasks, and project lists via 19 SQLite-backed MCP tools.
Enables AI assistants to manage scheduled social media posts and content automation across multiple platforms (X/Twitter, Reddit, LinkedIn, Instagram, TikTok, YouTube). Supports organizing campaigns into tracks, scheduling posts with natural language, and automating content workflows with local SQLite storage.
A hosted remote MCP server that lets your AI agent schedule tasks for later — reminders, delayed webhook callbacks, and recurring jobs. Read-only by design.
An MCP server that lets AI agents manage cron jobs through natural language — adding, listing, pausing, removing, running, and viewing logs of scheduled jobs with plain-English schedule parsing, automatic log capture, missed-run detection, and failure alerts.