gemini-image-mcp
gemini-image-mcp
README
Gemini Image MCP Server
This is an MCP (Model Context Protocol) server that uses Google's Gemini API to generate images and save them to a specified directory. In addition to text prompts, you can optionally provide input images to guide the image generation process. Generated images are automatically compressed to reduce file size.
Features
- Image generation from text prompts
- (Optional) Image generation using input reference images
- Automatic compression of generated images (JPEG, PNG)
- Unique file name assignment to prevent file name conflicts
- Operates as an MCP server, accepting tool calls via standard input/output
Prerequisites
- Node.js (v18 or higher recommended)
- Google Cloud Project with Gemini API enabled
- Gemini API Key
Setup
Example MCP server configuration for Roo Code
{
"mcpServers": {
"gemini-image-mcp-server": {
"command": "npx",
"args": [
"-y",
"@creating-cat/gemini-image-mcp-server"
],
"env": {
"GEMINI_API_KEY": "YOUR_GEMINI_API_KEY"
},
"disabled": false,
"timeout": 300
}
}
}
-
Replace
YOUR_GEMINI_API_KEYwith your actual Gemini API Key.- You can also use
${env:GEMINI_API_KEY}to retrieve the key from environment variables (Roo Code feature).
- You can also use
Tool: generate_image
This MCP server provides a tool named generate_image.
Input Parameters
| Parameter Name | Description | Default Value |
|---|---|---|
prompt |
(string, required) Text prompt for image generation. If input images are provided, include instructions on how to incorporate them into the generated image. English is recommended. | None |
output_directory |
(string, optional) Directory path where the generated image will be saved. | output/images |
file_name |
(string, optional) Name of the saved image file (without extension). | generated_image |
input_image_paths |
(string[], optional) List of file paths for input reference images. | [] (empty array) |
use_enhanced_prompt |
(boolean, optional) Whether to use enhanced prompts to assist AI instructions. | true |
target_image_max_size |
(number, optional) Maximum size (in pixels) for the longer edge after resizing. The aspect ratio is preserved. | 512 |
force_conversion_type |
(string, optional) Optionally force conversion to a specific format ('jpeg', 'webp', 'png'). If not specified, the original format will be processed, defaulting to PNG for non-JPEG images. | None |
skip_compression_and_resizing |
(boolean, optional) Whether to skip compression and resizing of generated images. If true, force_conversion_type and target_image_max_size will be ignored. |
false |
jpeg_quality |
(number, optional) JPEG quality (0-100). Lower values result in higher compression. | 80 |
webp_quality |
(number, optional) WebP quality (0-100). Lower values result in higher compression. | 80 |
png_compression_level |
(number, optional) PNG compression level (0-9). Higher values result in higher compression. | 9 |
optipng_optimization_level |
(number, optional) OptiPNG optimization level (0-7). Higher values result in higher compression. | 2 |
Output
On success, the server returns the save path of the generated image and a message detailing the process, including the original and compressed file sizes. Example:
{
"content": [
{
"type": "text",
"text": "Image successfully generated and compressed at output/images/my_cat.jpg.\nOriginal size: 1024.12KB, Final size: 150.45KB"
}
]
}
If an error occurs, an error message will be returned.
Notes
- The MIME type and aspect ratio of the generated images depend on the default settings of the Gemini API.
- Handle your API key with care.
- This server uses the model
gemini-2.0-flash-preview-image-generation. Google may discontinue this model in the future.
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。