AI Travel Planner 是一个基于 Spring Boot + Spring AI 的后端与 Vue 3 + Vite 的前端组合项目，面向智能旅游场景，提供 智能行程规划、多模态问答与个性化推荐 能力。 系统集成了 MCP (Model Context Protocol) 工具链，支持从 自然语言理解 → RAG (Retrieval-Augmented Generation) → 多 Agent 协同 → 个性化生成 的完整 AI 应用流程。同时配套 CSV 向量化预处理脚本，实现高效的数据清洗、向量化与检索。

Successfully developed a Travel Planner Assistant powered by LangGraph and MCP, integrating real-time flights, hotels, weather, places, and timezone tools. Features modular MCP servers, OpenAI agent orchestration, and a Streamlit UI for end-to-end trip planning.

Streamlit-based AI travel planner using multi-agent MCP architecture. Integrates Airbnb MCP for real-time stays and Google Maps MCP for precise distances. Delivers detailed itineraries with costs, buffer times, weather, dining, and attractions, plus calendar export and budget insights.

Travel Planner Agent MCP

Travel planner MCP agent

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Creating a Travel planner MCP/Agent

Build Travel planner using Agentic AI and MCP.

Airbnb and travel planner MCP Chat Agent with OpenAI integration

A2A + MCP multi-agent travel planner demo - technical pre-research

APAC Travel Planner powered by Snowflake Cortex Agent + MCP Server + AWS Bedrock AgentCore with Strands Agents

An agentic AI-powered travel planner that combines Google Gemini with Model Context Protocol (MCP) tools to create smart, personalized itineraries.

🧳 Vacation Planner AI Agent An AI-powered travel planner that generates personalized, day-by-day vacation itineraries. Built with Python, OpenAI/Anthropic SDKs, and MCP tools for browsing

A multi‑agent, agentic AI travel planner that uses LangGraph, CrewAI, FastAPI, and Streamlit to orchestrate GPT‑5.1/Gemini, MCP tools, and hybrid RAG (FAISS + Neo4j) for end‑to‑end smart itinerary planning.

Ghumantu AI is an AI-powered Travel Planner Agent built using Agno and MCP servers to automate itinerary creation with real-time weather, maps, and calendar scheduling.

Full-stack AI travel planner with multi-agent orchestration. Describe your ideal Japan/Taiwan trip in natural language; 15 specialized agents produce day-by-day itineraries, hotels, flights, and cost breakdowns. React 19 + FastAPI + CrewAI + MCP.

A modular, multi‑agent travel planner built with Agno and Groq. It coordinates a Flight Agent and a Hotel Agent, using mock MCP servers to search, rank by user preferences, and assemble a concise itinerary. Includes a clean package structure, runnable entrypoint, and extensible hooks to swap in real airline/hotel APIs, memory, or UI/API frontends.