# Gemini CLI

> Use this tool when you need to analyze codebases and receive AI-powered architectural assessments and refactoring recommendations. The Gemini CLI tool takes in codebase content and outputs comprehensive reviews and targeted analysis of specific files or folders, providing component-level insights. It is ideal for developers seeking automated code reviews and structural evaluations of their projects.

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

## Description

MCP server that bridges Gemini CLI with Claude Code by using code2prompt to extract codebase content and feeding it to Google's Gemini models for architectural analysis. The implementation provides two core tools: comprehensive codebase review that analyzes entire projects with automatic exclusion of build artifacts and dependencies, and targeted analysis that focuses on specific files or folders for component-level insights. Built with TypeScript and designed to leverage Gemini's large context window, it serves developers who want AI-powered code reviews, architectural assessments, and refactoring recommendations by combining the structured output of code2prompt with Gemini's analytical capabilities for both full-project overviews and focused component analysis.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/artegy-gemini-cli)
- **Repository:** <https://github.com/artegy/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": "artegy-gemini-cli"
    }
  }
}
```

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