# Gemini Search MCP

> Use this tool when you need to perform web searches and question-answering on local documents, leveraging Google Gemini's search capabilities with enhanced search grounding features. It solves problems related to information retrieval and document analysis, providing accurate answers to user queries. The tool accepts user searches and document inputs, outputting relevant results and answers, making it ideal for use cases requiring efficient and targeted information extraction.

Canonical page: https://skillsregistry.net/skills/mimiclab-geminisearchmcp  
JSON: https://api.skillsregistry.net/v1/skills/mimiclab-geminisearchmcp

## Description

Enables web search using Google Gemini with search grounding and question-answering on local documents, with support for chunked document reading.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wrkol6qt0m)
- **Repository:** <https://github.com/MIMICLab/GeminiSearchMCP>

## 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": "mimiclab-geminisearchmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mimiclab-geminisearchmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mimiclab-geminisearchmcp/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