✈️ Flight Search Assistant (Powered by Gemini + MCP)

This is a simple and powerful Streamlit-based flight search tool that uses Google's Gemini AI model and MCP (Model Context Protocol) Server to find real-time flight information using natural language queries.

Users can search for flights like:

"Find flights from Atlanta to Las Vegas on 2025-05-05"

Gemini interprets the query, identifies the right function/tool to use, and fetches flight data from the mcp-flight-search backend.

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🔧 Features

• ✅ Natural language flight search
• ✅ Real-time flight data (via SERP API through MCP)
• ✅ Gemini Pro 2.5 model for query understanding
• ✅ Interactive UI using Streamlit
• ✅ Cleanly formatted flight results
• ✅ Error handling and fallback messaging

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📦 Setup Instructions

1. Clone the repo

git clone https://github.com/parth-patel97/mcp-server-gemini.git
cd mcp-server-gemini

2. Install dependencies

pip install -r requirements.txt

3. Create a .env file

Create a .env file in the root of your project:

GEMINI_API_KEY=your-gemini-api-key
SERP_API_KEY=your-serp-api-key

The app will automatically load these using python-dotenv.

4. Run the app

streamlit run flight_search_ui.py

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🖼 Sample Screenshot

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🔁 Flow Diagram

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🧠 How it Works

1. User enters a natural language query.
2. Streamlit sends the query to Gemini 2.5.
3. Gemini interprets the query and generates a function call (tool use).
4. The tool is executed via MCP Server (mcp-flight-search) which fetches data from SERP API.
5. The response is formatted and shown in the Streamlit UI.

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