Gemini Search
Createdarjunprabhulal
Enables natural language flight searches using Google's Gemini 2.5 Pro and the Model Context Protocol.
About
This project demonstrates the integration of Google's Gemini 2.5 Pro with function calling capabilities and the Model Context Protocol (MCP) to facilitate natural language flight searches. By connecting to a local MCP server process, users can leverage Gemini to automatically extract the necessary parameters from their queries and execute flight searches using the mcp-flight-search tool, displaying formatted results in JSON.
Key Features
- Formatted JSON output of flight results
- Integration with `mcp-flight-search` tool via stdio
- 5 GitHub stars
- Natural language flight search using Gemini 2.5 Pro
- Environment-based configuration for API keys
- Automatic parameter extraction via function calling
Use Cases
- Building conversational flight search applications
- Integrating AI-powered search capabilities into existing travel platforms
- Automating flight booking processes with natural language
