#schedule

MCP server for GSA CALC+ Labor Ceiling Rates: awarded not-to-exceed hourly rates from GSA MAS contracts (230K+ records). Search by labor category, education, experience, SIN, vendor, or business size. Built for IGCEs, price reasonableness, and labor rate benchmarking. 8 tools.

Claude solves problems. Kuriflow makes them repeat. Stop spending AI tokens on the same task every week — let Claude solve it once, then Kuriflow runs it automatically with new data from email, Google Drive, or file uploads. Zero token cost per run. Save your tokens for tasks that actually need intelligence.

Claude solves problems. Kuriflow makes them repeat. Stop spending AI tokens on the same task every week — let Claude solve it once, then Kuriflow runs it automatically with new data from email or Google Drive. Zero token cost per run. Save your tokens for tasks that actually need intelligence.

Local task scheduler and worker manager with MCP integration for Claude Desktop. Cron/interval scheduling, email alerts, worker chaining, and a Flask dashboard with system tray support.

Ocean container shipping intelligence for AI agents: D&D tariffs, freight rates, vessel schedules, port congestion, inland haulage, and total cost calculation across 6 major carriers (Maersk, Hapag-Lloyd, MSC, COSCO, ONE, CMA CGM). 24 MCP tools — 4 free + 20 paid via x402 USDC micropayments.

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.

配套MCP日程表（VSCode插件拓展） 使用的一个MCP Server， 实现日程的自然语言描述增，查，删。

Caltrain MCP – A plug-and-play MCP server that pipes real-time Caltrain schedules straight into Claude Desktop (or any MCP client). Ask “next train Palo Alto → SF” and get GTFS-powered times—plus the usual Caltrain-grade lateness.

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.

A minimal but better Canvas LMS MCP (Machine Conversation Protocol) server for easy access to education data through your Canvas LMS instance. This server provides a bridge between AI systems (like Cursor) and Canvas Learning Management System.

ipl-schedule-api-mcp-server

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.