#scheduler

This MCP server connects AI assistants (like Claude, ChatGPT, and others that support MCP) to your Meet.bot account, allowing them to schedule meetings on your behalf. Instead of manually copying booking links or checking your calendar, you can simply ask your AI assistant to "schedule a 30-minute meeting with John next week" and it will handle the booking through your MeetBot scheduling pages. How it works: 1. Connect your MeetBot API token to the MCP server 2. Configure your AI assistant to use this MCP server 3. Ask your AI assistant to schedule meetings - it can check your availability, find time slots, and book meetings directly through your MeetBot account This is particularly useful for busy professionals who want to automate meeting scheduling and let their AI assistant manage their calendar intelligently. If you don't have an account, you can get one for free at https://meet.bot

Kalendis is a scheduling backend API that provides an MCP server for generating TypeScript clients and framework-specific API route handlers (Next.js, Express, Fastify, NestJS).

Schedule, retrieve, and delete SendGrid cron jobs using natural language commands. Manage your email sends effortlessly through an LLM interface with timezone-aware capabilities. Super-charge a reminder suite of your own with scheduled emails to yourself. This MCP server requires: - SendGrid account with verified single sender email address - Cron-Job.org account NOTE: timezone environment variable values must conform to IANA values. The default timezone value is UTC.

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.

An MCP server which allows your agent to schedule tasks and prompts at certain times.

A Model Context Protocol (MCP) server for Apache Dolphinscheduler. This provides access to your Apache Dolphinshcheduler RESTful API V1 instance and the surrounding ecosystem.

A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.