# Google Search (Gemini)

> Use this tool when you need to retrieve reliable and traceable information from the web, with proper source citations and grounding metadata. It solves problems related to fact-checking, research, and answering current events questions by providing real-time web information through native Google Search capabilities. The tool takes in search queries as input and returns relevant search results with source citations as output.

Canonical page: https://skillsregistry.net/skills/yukukotani-gemini-google-search  
JSON: https://api.skillsregistry.net/v1/skills/yukukotani-gemini-google-search

## Description

This MCP server provides Google Search functionality by leveraging Gemini's built-in Grounding with Google Search feature through the Google GenAI SDK. Unlike traditional web scraping approaches, it uses Gemini's native search capabilities to perform queries and automatically includes source citations with grounding metadata, making search results more reliable and traceable. The implementation supports both Google AI Studio and Vertex AI configurations, and is particularly useful for AI assistants that need real-time web information with proper attribution for fact-checking, research tasks, and answering current events questions.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yukukotani-gemini-google-search)
- **Repository:** <https://github.com/yukukotani/mcp-gemini-google-search>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "yukukotani-gemini-google-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yukukotani-gemini-google-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yukukotani-gemini-google-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt