Developing a Spring AI Enhanced Restaurant Booking System Employing an API-first Approach MCP Server

This multi-module project hosts a client code-generated from an OpenAPI derivative of the ResOs API combined with a Spring AI implementation. It also includes an MCP server, MCP client configuration…

Local serverstdio

What is the Developing a Spring AI Enhanced Restaurant Booking System Employing an API-first Approach MCP Server?

Developing a Spring AI Enhanced Restaurant Booking System Employing an API-first Approach is an MCP project maintained in the pacphi/spring-ai-resos repository. The maintainer describes its purpose as “This multi-module project hosts a client code-generated from an OpenAPI derivative of the ResOs API combined with a Spring AI implementation. It also includes an…”. Read the project documentation for the complete scope.

Local setup

The project provides a local client configuration using java. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.

Configuration values

The example declares RESOS_API_ENDPOINT. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.

Source

Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
getTablesFetch all restaurant tables
getCustomersFetch customer records with filtering/pagination
getCustomerByIdFetch a specific customer
getFeedbackFetch customer feedback and reviews
getFeedbackByIdFetch specific feedback
getOpeningHoursFetch opening hours for the next two weeks
getOpeningHoursByIdFetch specific opening hours

How to install the Developing a Spring AI Enhanced Restaurant Booking System Employing an API-first Approach MCP Server

{
  "mcpServers": {
    "spring-ai-resos": {
      "command": "java",
      "args": [
        "-Dspring.profiles.active=stdio",
        "-jar",
        "<path-to-jar>/spring-ai-resos-mcp-server-stdio-{VERSION}.jar"
      ],
      "env": {
        "RESOS_API_ENDPOINT": "http://localhost:8080/api/v1/resos"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

VariableDescriptionRequired
RESOS_API_ENDPOINTDeclared in the maintainer’s client configuration.Check documentation