# Gemini MCP Server

> Use this tool when you need to analyze large files efficiently, leveraging a large context window to process extensive data while minimizing token usage. The Gemini MCP Server enables Claude Code to utilize Gemini AI, solving problems related to large-scale file analysis and token conservation. It accepts large files as input and provides analyzed outputs, ideal for use cases where extensive data processing is required.

Canonical page: https://skillsregistry.net/skills/infolabai-gemini-cli-mcp  
JSON: https://api.skillsregistry.net/v1/skills/infolabai-gemini-cli-mcp

## Description

A tool that allows Claude Code to use Gemini AI as an MCP server, leveraging Gemini's large context window for analyzing large files while saving Claude Code tokens.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-05-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ek6seo0hyx)
- **Repository:** <https://github.com/InfolabAI/gemini-cli-mcp>

## 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": "infolabai-gemini-cli-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/infolabai-gemini-cli-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/infolabai-gemini-cli-mcp/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