# Gemini CLI

> Use this tool when you need to interact with Google's Gemini models for conversational interactions, content generation, or model discovery through a command-line interface. It solves problems such as generating content with configurable settings and discovering available models, and accepts inputs like temperature settings and model queries, producing outputs like generated text and model lists. It is ideal for AI assistants working within existing CLI-based workflows that require integration with Gemini's capabilities.

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

## Description

This MCP server provides integration with the Gemini CLI tool, enabling AI assistants to interact with Google's Gemini models through command-line interface calls. It exposes three core tools: gemini_chat for conversational interactions, gemini_generate for content generation with configurable temperature settings, and gemini_list_models for discovering available models. The implementation uses Node.js child processes to execute Gemini CLI commands and assumes the CLI tool is installed and configured in the system PATH, making it useful for AI assistants that need to leverage Gemini's capabilities while working within existing CLI-based workflows.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

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

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

---
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
