Exposes the Appointment Scheduler API to AI agents as an MCP server, enabling them to list users and services, check availability, book, list, and cancel appointments via natural language.
Enables MCP-compatible clients to act as an AI receptionist for a small medical clinic, handling appointment booking and rescheduling, patient registration, intake, reminders, and FAQ answers.
Enables users to manage medical appointments by searching for doctors, checking availability, and booking sessions through a natural language interface. It serves as a reference implementation for advanced MCP features like symptom-based specialist recommendations and multi-step scheduling workflows.
An MCP server that enables users to book, cancel, reschedule, and list appointments through natural language interactions. It uses YAML configurations for agent behavior and function logic to manage appointment data and availability.
An MCP server that enables interaction with OnSched's consumer-facing appointment scheduling API through natural language, allowing users to manage bookings, appointments, and scheduling operations.