# Gemini

> Use this tool when you need to generate images through conversational interaction, solving the problem of complex image creation workflows. Gemini MCP Server bridges Claude Desktop with Google's Gemini AI, accepting JSON-RPC inputs and producing generated images as output. It is particularly useful in AI workflows where seamless and configurable image generation is required.

Canonical page: https://skillsregistry.net/skills/garblesnarff-gemini-image  
JSON: https://api.skillsregistry.net/v1/skills/garblesnarff-gemini-image

## Description

Gemini MCP Server provides a bridge between Claude Desktop and Google's Gemini AI for image generation, enabling users to create images directly through conversational interaction. Built by Garblesnarff, the server implements a JSON-RPC protocol that allows Claude to call the generate_image tool, supporting configuration of model parameters like temperature and style. It's particularly useful for users who want seamless, configurable image generation within their AI workflow.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/garblesnarff-gemini-image)
- **Repository:** <https://github.com/garblesnarff/gemini-mcp-server>

## 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": "garblesnarff-gemini-image"
    }
  }
}
```

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