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README

Streamlit AI travel planner using MCP servers, Google Maps, and Airbnb for detailed personalized itineraries.

Added Apr 14, 2026
## 🌍 MCP Travel Planner Agent Team

A sophisticated Streamlit-based AI travel planning application that creates extremely detailed, personalized travel itineraries using multiple MCP servers and Google Maps integration. The app uses Airbnb MCP for real accommodation data and a custom Google Maps MCP for precise distance calculations and location services.

## ✨ Features

### 🤖 AI-Powered Travel Planning
- **Extremely Detailed Itineraries**: Creates comprehensive day-by-day schedules with specific timing, addresses, and costs
- **Distance Calculations**: Uses Google Maps MCP to calculate precise distances and travel times between all locations
- **Real-Time Accommodation Data**: Integrates with Airbnb MCP for current pricing and availability
- **Personalized Recommendations**: Customizes itineraries based on user preferences and budget constraints

### 🏨 Airbnb MCP Integration
- **Real accommodation listings** with current pricing and availability
- **Property details** including amenities, guest reviews, and booking availability
- **Budget-conscious recommendations** filtered by location and preferences
- **Direct booking information** with real-time rates

### 🗺️ Google Maps MCP Integration
- **Precise distance calculations** between all locations in the itinerary
- **Travel time estimates** for transportation planning
- **Location services** for points of interest and navigation
- **Address verification** for all recommended places
- **Transportation optimization** with turn-by-turn guidance

### 🔍 Google Search Integration
- **Current weather forecasts** with detailed clothing recommendations
- **Restaurant research** with specific addresses, price ranges, and reviews
- **Attraction details** including opening hours, ticket prices, and best visiting times
- **Local insights** and cultural information
- **Practical travel tips** including currency exchange and safety information

### 📅 Additional Features
- **Calendar Export**: Download your itinerary as a .ics file for Google Calendar, Apple Calendar, or Outlook
- **Comprehensive Cost Breakdown**: Detailed budget analysis for all trip components
- **Buffer Time Planning**: Includes travel time and unexpected delays in scheduling
- **Multiple Accommodation Options**: Provides 3 accommodation choices with distances from city center


## Setup

### Requirements

1. **API Keys** (Both Required):
    - **OpenAI API Key**: Get your API key from [OpenAI Platform](https://platform.openai.com/api-keys)
    - **Google Maps API Key**: Get your API key from [Google Cloud Console](https://console.cloud.google.com/apis/credentials)

2. **Python 3.8+**: Ensure you have Python 3.8 or higher installed.

3. **MCP Servers**: The app automatically connects to:
    - **Airbnb MCP Server**: Provides real Airbnb listings and pricing data
    - **Custom Google Maps MCP**: Enables precise distance calculations and location services

### Installation

1. Clone this repository:
   ```bash
   git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
   cd awesome-llm-apps/mcp_ai_agents/ai_travel_planner_mcp_agent_team
   ```

2. Install the required Python packages:
   ```bash
   pip install -r requirements.txt
   ```

### Running the App

1. Start the Streamlit app:
   ```bash
   streamlit run app.py
   ```

2. In the app interface:
   - Enter your **OpenAI API key** in the sidebar
   - Enter your **Google Maps API key** in the sidebar
   - Specify your destination, trip duration, budget, and preferences
   - Click "🎯 Generate Itinerary" to create your detailed travel plan

3. **Optional**: Download your itinerary as a calendar file (.ics) for import into Google Calendar, Apple Calendar, or Outlook

## Troubleshooting

### Common Issues & Solutions

- **"Error: [error message]"**: Check your internet connection and API keys
  - Verify both OpenAI and Google Maps API keys are entered correctly
  - Try again in a few minutes - the MCP servers may be temporarily unavailable

- **Missing distance information**: Google Maps MCP connection issue
  - Check your Google Maps API key validity
  - Ensure your API key has the necessary permissions for Maps API
  - Try refreshing the page and entering the keys again

- **Slow response times**: MCP servers can take time to respond
  - The app has a 60-second timeout configured
  - Wait for the process to complete - detailed itineraries take time to generate

- **Network/Firewall issues**: Some corporate networks may block MCP connections
  - Try from a different network
  - Use a VPN if necessary
  - The app will show connection errors if MCP servers are unreachable

### API Key Issues

- **OpenAI API Key**: Make sure you have credits in your OpenAI account and the key is valid
- **Google Maps API Key**: Ensure the key has Maps API enabled and proper billing setup

### Tool Status

The app will show you which data sources were successfully used:
- 🏨 **"Your travel itinerary is ready with Airbnb data!"** = Airbnb MCP connected successfully
- 📝 **"Used general knowledge for accommodation suggestions"** = Airbnb MCP failed, using general knowledge as fallback

**The app is designed to work reliably!** Even if MCP connections fail, it will generate comprehensive itineraries using available tools and information.

## Project Structure

```
├── app.py              # Main Streamlit application with MCP integration
├── requirements.txt    # Python dependencies
└── README.md          # This documentation
```

## How It Works

The AI Travel Planner Agent Team uses a sophisticated multi-step process to create extremely detailed travel itineraries:

### 🤖 AI Agent Architecture
- **GPT-4o Model**: Powers the intelligent travel planning with advanced reasoning capabilities
- **Multi-MCP Integration**: Combines Airbnb and Google Maps MCP servers for real-time data
- **Google Search Tools**: Provides current weather, reviews, and local insights
- **Direct Response Generation**: Creates complete itineraries without asking clarifying questions
#travel planning #MCP #AI agents #Streamlit #Google Maps