# mcp-cli-gemini

> Use this tool when you need to integrate Gemini functionality into AI workflows, enabling unified management of queries, interactive sessions, and extensions. It solves problems of fragmented tooling and inconsistent interfaces by providing a unified MCP server interface. Input Gemini commands and receive output in a standardized format, ideal for automating and streamlining AI-driven workflows.

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

## Description

Wraps the Gemini CLI as an MCP server, enabling AI tools to perform Gemini queries, interactive sessions, and extension management via a unified tool.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d8d3gik725)
- **Repository:** <https://github.com/rlaksana/mcp-cli-gemini>

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

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