Image Generator MCP Server
Generates customizable test/placeholder images as PNG files with specified dimensions (1-4096px), hex colors, and optional labels. Automatically creates directories and adds dimension overlays with smart contrast text.
README
Image Generator MCP Server
A Model Context Protocol (MCP) server that generates test images with customizable width, height, and color. Saves images as PNG files to specified file paths.
Features
- Generate test images with specified dimensions (1-4096 pixels)
- Support for hex color format (e.g., #FF0000, #f00)
- Automatic text overlay showing image dimensions
- Optional custom label text displayed in the top-left corner
- Smart contrast color selection for readable text
- Saves images as PNG files to specified file paths
- Automatically creates directories if they don't exist
Installation
- Clone or download this repository
- Install dependencies:
npm install
- Build the server:
npm run build
- Add the server to your MCP configuration:
For VSCode:
{
"servers": {
"Image Placeholder Gen": {
"type": "stdio",
"command": "node",
"args": [
"~/mcp_servers/image-gen/build/index.js"
]
}
}
}
For Claude Desktop:
{
"mcpServers": {
"image-gen": {
"command": "node",
"args": ["/path/to/image-gen/build/index.js"]
}
}
}
Usage
The server provides one tool:
generate_test_image
Generate a test image with specified parameters.
Parameters:
width(number): Width of the image in pixels (1-4096)height(number): Height of the image in pixels (1-4096)color(string): Color of the image as hex code (e.g., #FF0000 or #f00)filepath(string): Full path where the PNG image should be savedlabel(string, optional): Custom text to display in the top-left corner of the image
Example:
{
"name": "generate_test_image",
"arguments": {
"width": 400,
"height": 300,
"color": "#3498db",
"filepath": "/tmp/test_image.png",
"label": "My Custom Label"
}
}
Returns:
- Text confirmation that the image was successfully generated and saved
Color Format
The tool supports hex color format:
- Hex colors:
#FF0000,#f00
Testing
Run the test script to verify the server works:
npm run build
npm test
Dependencies
- Node.js canvas library for image generation
- Model Context Protocol SDK
Notes
- Maximum image dimensions are capped at 4096x4096 pixels for performance
- Generated images include dimension text overlay for easy identification
- Text color is automatically chosen for optimal contrast against the background
- The server automatically creates directories if they don't exist in the specified file path
Contributing
Feel free to submit issues and enhancement requests!
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。