Gemini Search FAQs

Question 1

How does Gemini Search work?

Accepted Answer

You provide a natural language query (e.g., 'Flights from New York to London next Tuesday'). Gemini 2.5 Pro extracts the relevant parameters, interacts with the mcp-flight-search tool via MCP, and delivers formatted JSON flight results.

Question 2

What is Gemini Search?

Accepted Answer

Gemini Search is a tool that uses Google's Gemini 2.5 Pro to perform natural language flight searches. It leverages function calling and the Model Context Protocol (MCP) to understand your queries and return formatted flight information.

Question 3

What are the prerequisites for using Gemini Search?

Accepted Answer

You need Python 3.7+, a Google AI Studio API key for Gemini, a SerpAPI key, and the `mcp-flight-search` package installed.

Question 4

What is Model Context Protocol (MCP)?

Accepted Answer

Model Context Protocol (MCP) enables interaction between language models like Gemini and external tools. Gemini Search uses MCP to communicate with `mcp-flight-search`, allowing it to execute the flight search based on Gemini's understanding of the query.

Question 5

What are the key features of Gemini Search?

Accepted Answer

Key features include natural language flight search using Gemini 2.5 Pro, automatic parameter extraction, seamless integration with `mcp-flight-search` via stdio, formatted JSON output, and environment-based API key configuration.

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