Gemini Function Calling + MCP(MCP) Flight Search
@arjunprabhulal
基本信息
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
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
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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-searchtool 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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