# Gemini 2.5 Flash Image

> Use this tool when you need to generate, edit, or transform images programmatically, leveraging text-to-image generation, composition, and style transfer capabilities. It solves problems in creative workflows, content creation, and automated image processing, accepting base64 or file path inputs and offering flexible transport options. Ideal for use cases requiring combining multiple images or applying style transformations, with comprehensive error handling and response formatting.

Canonical page: https://skillsregistry.net/skills/gemini-2-5-flash-image  
JSON: https://api.skillsregistry.net/v1/skills/gemini-2-5-flash-image

## Description

MCP server for Google Gemini 2.5 Flash Image preview that provides AI assistants with text-to-image generation, image editing, composition, and style transfer capabilities through four specialized tools. The implementation supports both base64 and file path inputs for images, includes optional file saving functionality, and offers flexible transport options (stdio/HTTP) with comprehensive error handling and response formatting. Built with TypeScript and the MCP SDK, it serves users who need programmatic access to Gemini's image generation capabilities for creative workflows, content creation, and automated image processing tasks that require combining multiple images or applying style transformations.

## 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:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gemini-2-5-flash-image)
- **Repository:** <https://github.com/nanameru/gemini-2.5-flash-image-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": "gemini-2-5-flash-image"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gemini-2-5-flash-image` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gemini-2-5-flash-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