by arjunprabhulal · MCP Server · ★ 56
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Gemini Function Calling + Model Context Protocol(MCP) Flight Search This project demonstrates how to use Google's Gemini 2.5 Pro with function calling capabilities to interact with the tool via Model Context Protocol (MCP). This client implementation shows how to: Connect to a local MCP server process () using stdio communication Use natural language prompts with Gemini 2.5 Pro to search for flights (e.g., "Find flights from Atlanta to Las Vegas on 2025-05-05") Let Gemini automatically determine the correct function parameters from the natural language input Execute the flight search using the MCP tool Display formatted results from the search Features Natural language flight search using Gemini 2.5 Pro Automatic parameter extraction via function calling Integration with tool via stdio Formatted JSON output of flight results Environment-based configuration for API keys Prerequisites Before running this client, you'll need: Python 3.7+ A Google AI Studio API key for Gemini A SerpAPI key (used by the flight search tool) The package installed Dependencies This project relies on several Python packages: google-generativeai: Google's official Python library for accessing Gemini 2.5 Pro...
| Stars | 56 |
| Forks | 19 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 36.7/100 |
| Open Issues | 2 |
| Last Updated | 2025-04-07 |
| Created | 2025-04-04 |
| Platforms | gemini, mcp, python |
| Est. Tokens | ~1577k |
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mcp-gemini-search is 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. It is categorized as a MCP Server with 56 GitHub stars.
mcp-gemini-search is primarily written in Python. It covers topics such as ai, function-calling, gemini.
You can find installation instructions and usage details in the mcp-gemini-search GitHub repository at github.com/arjunprabhulal/mcp-gemini-search. The project has 56 stars and 19 forks, indicating an active community.
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