Server data from the Official MCP Registry
Google AI search and documentation tools for MCP clients using Vertex AI or the Gemini API.
About
Google AI search and documentation tools for MCP clients using Vertex AI or the Gemini API.
Security Report
This MCP server provides Google AI-powered search and documentation tools with appropriate authentication via API keys and environment variables. Permissions align well with its stated purpose (web search, documentation retrieval). However, there are code quality concerns around error handling, broad exception catching, and insufficient input validation in some tools that create moderate risk. The server properly avoids hardcoding credentials and uses environment-based configuration. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 4 high severity). Package verification found 1 issue.
6 files analyzed · 14 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: AI_PROVIDER
Environment variable: GOOGLE_CLOUD_PROJECT
Environment variable: GOOGLE_CLOUD_LOCATION
Environment variable: GEMINI_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-shariqriazz-google-ai-search-mcp": {
"env": {
"AI_PROVIDER": "your-ai-provider-here",
"GEMINI_API_KEY": "your-gemini-api-key-here",
"GOOGLE_CLOUD_PROJECT": "your-google-cloud-project-here",
"GOOGLE_CLOUD_LOCATION": "your-google-cloud-location-here"
},
"args": [
"-y",
"google-ai-search-mcp"
],
"command": "npx"
}
}
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