MCP Appointment Management Server

Overview

The Mcp Server Appointment Management MCP server is a Java‑based service that bridges AI assistants with a relational database to provide secure, token‑authenticated appointment scheduling. By exposing a set of well‑defined tools over the Model Context Protocol, it allows conversational agents to create, update, and cancel appointments without exposing raw database credentials. This solves the common problem of integrating sensitive scheduling data into AI workflows while maintaining strict access control and auditability.

Developers can embed this server into any AI‑powered application—chatbots, virtual assistants, or internal help desks—and rely on the MCP layer to enforce authentication, authorization, and data integrity. The server’s modular architecture is built on Spring Boot and Spring AI, enabling rapid deployment in Java environments. It supports PostgreSQL (and MySQL as an alternative) out of the box, so teams can use existing database infrastructure without rewriting data access code.

Key capabilities include:

• Token‑based authentication that issues short‑lived tokens after user verification, ensuring that only authenticated sessions can perform appointment operations.
• CRUD operations for appointments: create new entries, modify details such as time or participants, and cancel existing appointments with automatic cleanup of related notifications.
• AI‑friendly prompts that expose these operations as conversational tools, allowing an assistant to interpret natural language requests and translate them into MCP calls.
• Security‑first design: the MCP protocol protects the underlying database by exposing only vetted operations, preventing accidental data leaks or malicious queries.

Typical use cases span from customer support chatbots that schedule meetings on behalf of users, to smart scheduling assistants that automatically resolve conflicts and suggest optimal times. In enterprise settings, the server can be integrated into internal service desks where employees request appointments with resources or external partners. Because it leverages token expiration and revocation, compliance teams can enforce strict session policies.

In practice, a developer would configure the database connection in , run the Spring Boot application, and then point an AI assistant to the MCP endpoint. The assistant can ask a user for availability, generate a token via an authentication tool, and then call the appointment tools to finalize scheduling—all while the server logs every action for audit purposes. This streamlined workflow reduces boilerplate, enhances security, and delivers a seamless AI‑enabled scheduling experience.