Enables natural language flight searches using Google's Gemini 2.5 Pro and the Model Context Protocol.
Sponsored
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
01Formatted JSON output of flight results
02Integration with `mcp-flight-search` tool via stdio
035 GitHub stars
04Natural language flight search using Gemini 2.5 Pro
05Environment-based configuration for API keys
06Automatic parameter extraction via function calling
