Gemini Function Calling + MCP(MCP) Flight Search

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

@arjunprabhulal

代码仓库主页

基本信息

分类

AI 与智能体

传输方式

stdio

作者

arjunprabhulal

关于 Gemini Function Calling + MCP(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

Gemini Function Calling + MCP(MCP) Flight Search 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Gemini Function Calling + MCP(MCP) Flight Search 工具

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概览

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.

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

Natural language flight search using Gemini 2.5 Pro
Automatic parameter extraction via function calling
Integration with mcp-flight-search tool via stdio
Formatted JSON output of flight results
Environment-based configuration for API keys

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

Searching flights using plain English (e.g., “Find flights from Atlanta

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