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🚀 MCP Gemini Search

Created By
long2309128 months ago
Model Context Protocol (MCP) with Gemini 2.5 Pro. Convert conversational queries into flight searches using Gemini's function calling capabilities and MCP's flight search tools
# machine-learning
# ai
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Overview

MCP Gemini Search is a project that utilizes the Model Context Protocol (MCP) in conjunction with Gemini 2.5 Pro to convert conversational queries into flight searches, enhancing the user experience in travel planning.

To use MCP Gemini Search, clone the repository, install the necessary dependencies, and launch the application. Input your flight search query in natural language, and the application will return a list of available flights based on your request.

  • Conversational Queries: Input flight searches in natural language.
  • Function Calling: Efficiently executes flight searches using Gemini’s capabilities.
  • Integration with MCP: Enhanced flight search tools through the Model Context Protocol.
  • Real-Time Results: Provides up-to-date flight information.
  • User-Friendly Interface: Accessible design for all users.
  1. Finding flights based on natural language queries.
  2. Streamlining travel planning with AI-driven search functionalities.
  3. Enhancing user interaction with conversational AI in travel.
  • Can I use natural language for flight searches?

Yes! You can input your queries in natural language, and the system will process them accordingly.

  • Is there a cost to use MCP Gemini Search?

The project is open-source and free to use.

  • How accurate are the flight results?

The accuracy depends on the input query and the data sources used for flight information.

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