# Gemini AI

> Use this tool when you need to generate, edit, or create visual content, such as images and videos, using advanced AI models like Gemini 2.5 Flash, Imagen 4.0, and Veo 3.0. It solves problems for content creators, developers, and teams by providing text-to-image and video generation, image editing, and multi-image blending capabilities through a JSON-RPC protocol interface. Ideal for use in media application development, content production workflows, and programmatic access to cutting-edge generative AI models.

Canonical page: https://skillsregistry.net/skills/holocode-ai-gemini  
JSON: https://api.skillsregistry.net/v1/skills/holocode-ai-gemini

## Description

This MCP server provides Google Gemini AI services integration, offering advanced image generation, editing, and video creation capabilities through Google's latest models including Gemini 2.5 Flash, Imagen 4.0, and Veo 3.0. Built with Go and featuring direct JSON-RPC protocol implementation over stdio transport, it supports text-to-image generation with style controls and quality settings, image editing with targeted modifications, multi-image blending and composition, high-quality Imagen-based image generation, and both text-to-video and image-to-video creation with configurable aspect ratios and resolutions. The implementation includes automatic file saving with metadata generation, comprehensive error handling, and Docker deployment support, making it valuable for content creators, developers building AI-powered media applications, and teams needing programmatic access to Google's cutting-edge generative AI models for visual and video content production workflows.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

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