mcp-gemini-google-search
by yukukotani·★ 79·Score 43
MCP server providing Google Search functionality using Gemini's built-in Grounding with Google Search feature.
Overview
This MCP server integrates Google Search functionality through Gemini's Grounding with Google Search feature. It provides real-time web search results with proper source citations, making it valuable for information retrieval tasks. The server supports both Google AI Studio and Vertex AI, offering flexibility for different deployment scenarios.
Try asking AI
After installing, here are 5 things you can ask your AI assistant:
When to choose this
Choose this when you need Google search capabilities within MCP-compliant AI applications, especially if you're already using Google AI or Vertex AI.
When NOT to choose this
Don't choose this if you need search capabilities from other search engines (like Bing or DuckDuckGo) or if you have concerns about vendor lock-in with Google services.
Tools this server exposes
1 tool extracted from the READMEgoogle_searchquery: stringSearch Google for information
Comparable tools
Installation
Installation
npm install -g mcp-gemini-google-searchEnvironment Variables
# For Google AI Studio (default)
export GEMINI_API_KEY="your-api-key-here"
export GEMINI_MODEL="gemini-2.5-flash" # Optional
# For Vertex AI
export GEMINI_PROVIDER="vertex"
export VERTEX_PROJECT_ID="your-gcp-project-id"
export VERTEX_LOCATION="us-central1" # OptionalClaude Code Configuration
claude mcp add gemini-google-search \
-s user \
-e GEMINI_API_KEY="your-api-key-here" \
-- npx mcp-gemini-google-searchFAQ
- What API do I need to use this MCP server?
- You need either a Google AI Studio API key or a Google Cloud Project with Vertex AI enabled.
- Which models are supported?
- The server defaults to gemini-2.5-flash but supports other Gemini models that support Grounding with Google Search.
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Last updated · Auto-generated from public README + GitHub signals.