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MCP Appointment Booking Server

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.

Updated
Feb 28, 2026

MCP Appointment Booking Server

📌 Overview

This project implements an MCP (Modular Conversational Protocol) server for appointment booking.
It leverages agent.yaml and functions.yaml files from the Result folder to define conversational behavior and available tools.
The server enables users to book, cancel, reschedule, and list appointments through conversational interactions. All appointments can be access through appointment.yaml file

📂 Project Structure

Project Structure

Architecture diagram for MCP Appointment Booking Server Workflow

Archtecture

⚙️ Features

  • Check Availability: Verify if a time slot is free.
  • Book Appointment: Reserve a slot for a customer.
  • Cancel Appointment: Delete an appointment by ID.
  • Reschedule Appointment: Change date/time of an existing appointment.
  • List Appointments: Retrieve all appointments for a given user.

🚀 Installation

Clone the repo

  git clone <path>

Ensure you have Python >=3.10 <=3.13 installed on your system to install CrewAI.

Install dependencies

  pip install -r requirements.txt

Customizing

Replace agent and function files as you need

yaml files

Run the Code

  uv run mcp install main.py  

Connect MCP with your custom chatbot

OR

Connect MCP with chatbot app like Claude

📑 Example Workflow

Agent Conversation

  • Guided by agent.yaml
  • Defines persona, conversation flow, and instructions for the appointment assistant

Functions

  • Defined in functions.yaml
  • Provide backend logic for booking, canceling, rescheduling, and listing appointments

Workflow Steps

  1. User requests an appointment
  2. Agent asks for required details (customerName, service, date, time, durationMinutes)
  3. Server executes the appropriate tool from functions.yaml
  4. Results are stored in appointments.yaml for persistence

Chatbot plug with MCP Appointment Booking Server

chats


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