Gemini Function Calling + Model Context Protocol(MCP) Flight Search

Name: Gemini Function Calling + Model Context Protocol(MCP) Flight Search
Author: arjunprabhulal

@arjunprabhulal

About Gemini Function Calling + Model Context Protocol(MCP) Flight Search

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 #mcp #gemini #stdio #serpapi #llm #function-calling #model-context-protocol #mcp-server

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-gemini-search": {
      "command": "python",
      "args": [
        "client.py"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Gemini Function Calling + Model Context Protocol(MCP) Flight Search?

It is a client demonstration that uses Google’s Gemini 2.5 Pro with function calling to interact with the mcp-flight-search tool via the Model Context Protocol (MCP). It enables natural language flight search queries to be automatically translated into structured function calls and executed against a local MCP server.

How to use Gemini Function Calling + Model Context Protocol(MCP) Flight Search?

Clone the repository, install dependencies (pip install -r requirements.txt and pip install mcp-flight-search), set GEMINI_API_KEY and SERP_API_KEY environment variables, then run python client.py. The client starts the MCP flight search server, sends the user’s natural language query to Gemini, and displays formatted flight results.