This project combines Spring Boot, Spring AI, and ResOs API to enable restaurant searches, reservations, and chatbot functionalities via MCP server and ReactJS UI.
Added on:
Created by:
Apr 14 2025
This project combines Spring Boot, Spring AI, and ResOs API to enable restaurant searches, reservations, and chatbot functionalities via MCP server and ReactJS UI.
Added on:
Created by:
Apr 14 2025
Chris Phillipson
Featured
What is Spring AI ResOs?
Spring AI ResOs is a comprehensive multi-module framework that hosts a code-generated OpenAPI derivative of the ResOs API alongside a Spring AI implementation. It includes an MCP server, client configurations for Claude and other LLM providers, and a standalone ReactJS-powered chatbot interface. This setup allows developers to build applications that can search and book restaurants using natural language conversations, supported by AI and cloud integrations for scalable, API-first operations.
Who will use Spring AI ResOs?
- Developers building AI-enhanced restaurant reservation systems
- Restaurants and hospitality businesses seeking API-driven management tools
- AI and chatbot developers integrating ResOs API with Spring Boot
- Businesses exploring conversational AI for service automation
How to use the Spring AI ResOs?
- Step1: Clone the repository using Git or GitHub CLI
- Step2: Build the project with Maven using 'mvn clean install' command
- Step3: Launch the backend module with 'mvn spring-boot:run' to start the API server
- Step4: Configure the client application with your API keys and desired LLM provider
- Step5: Run the client application to use the chatbot UI for restaurant search and reservations
- Step6: For Claude Desktop integration, update the JSON config and restart Claude
- Step7: Interact with the chatbot to perform restaurant queries and bookings
Spring AI ResOs's Core Features & Benefits
The Core Features
- OpenAPI code generation for ResOs API
- Spring Boot-based MCP server
- MCP client for LLM integration (Claude, OpenAI, Groq Cloud, OpenRouter)
- ReactJS chatbot UI
- Configuration profiles for different AI providers
The Benefits
- Enables conversational restaurant reservations via AI
- Flexible integration with multiple LLM providers
- API-first design supporting scalable and customizable solutions
- User-friendly chatbot interface
- Supports both cloud and local deployment
Spring AI ResOs's Main Use Cases & Applications
- Building AI-powered restaurant search and reservation chatbot
- Integrating ResOs API with Spring Boot for automated hospitality management
- Developing conversational AI apps for hospitality services
- Creating scalable, API-driven reservation systems
FAQs of Spring AI ResOs
Developer
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
AI Chatbot
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.