arjunprabhulal/mcp-gemini-search
View on GitHub ↗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
55 ★20 forksPythonUpdated 24d ago
What you need to know
An MCP server that connects assistants to Google Gemini's search/grounding features and its Search via Gemini API, returning grounded, cited answers and search results.
Install
Configure with a Gemini API key, then register with the MCP client.
Usage
- •Ask AI to perform web searches grounded in Gemini results with citations via tools.
Key features
- ✓Gemini search integration
- ✓grounded responses
- ✓citations
- ✓web search
Best for
Adding Google-grounded search to AI assistants.
Platforms: macOS · Linux · WindowsClients: Claude Desktop · generic MCP clients
Reviewed 2026-08-11
Topics
- Stars
- 55★
- Forks
- 20
- Language
- Python
- License
- —
- Created
- 2025-04-04
- Last push
- 2026-08-12