Multi-machine system monitor with a built-in MCP server that enables AI agents to query health metrics, manage processes, schedule cron jobs, and run diagnostics across local and remote machines.
MCP server that allows AI coding assistants to schedule deferred tasks such as reminders, shell commands, and AI prompts, executing them as an OS daemon.
An MCP server for scheduling and executing Claude Code CLI tasks via cron expressions, featuring a web dashboard and webhook support. It enables users to dynamically create custom MCP servers, manage recurring AI jobs, and track execution history with token and cost analytics.
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.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
