Gemini Function Calling + Model Context Protocol(MCP) Flight Sea…
@arjunprabhulal
About Gemini Function Calling + Model Context Protocol(MCP) Flight Sea…
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
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.
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
Basic information
More AI & Agents MCP servers

q-ring
I4cTimeQuantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.
Mcp Agent
lastmile-aiBuild effective agents using Model Context Protocol and simple workflow patterns
MCP Client for Ollama (ollmcp)
joniglHarness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
Perplexity Ask MCP Server
ppl-aiThe official MCP server implementation for the Perplexity API Platform
Model Context Protocol for Unreal Engine
chongdashuEnable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).
Comments