Model Context Protocol server for SVGMaker - AI-powered SVG generation and editing. Seamlessly integrate SVG creation into AI workflows.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"svgmaker-mcp": {
"command": "<see-readme>",
"args": []
}
}
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A powerful MCP server for generating, editing, and converting SVG images using SVGMaker API.
No automated test available for this server. Check the GitHub README for setup instructions.
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A powerful MCP server for generating, editing, and converting SVG images using SVGMaker API.
This very illustration came to life through our own SVGMaker MCP server—a living example of AI assistants and vector graphics working in perfect harmony via the Model Context Protocol.
node --version # Should be >= v18.0.0
npm --version # Should be >= 7.0.0
@genwave/svgmaker-mcp/
├── build/ # Compiled JavaScript files
├── docs/ # Documentation
│ └── api/ # API documentation
├── src/ # Source TypeScript files
│ ├── tools/ # MCP tool implementations
│ ├── services/ # API integration
│ └── utils/ # Utility functions
└── types/ # TypeScript declarations
# Using npm
npm install @genwave/svgmaker-mcp
# Using yarn
yarn add @genwave/svgmaker-mcp
SVGMAKER_API_KEY="your_api_key_here"
npx svgmaker-mcp
{
"mcpServers": {
"svgmaker": {
"command": "npx",
"args": ["@genwave/svgmaker-mcp"],
"transport": "stdio",
"env": {
"SVGMAKER_API_KEY": "your_api_key_here"
}
}
}
}
Generate an SVG of a minimalist mountain landscape:
<mcp>
{
"server": "svgmaker",
"tool": "svgmaker_generate",
"arguments": {
"prompt": "Minimalist mountain landscape with sun",
"output_path": "./landscape.svg",
"quality": "high",
"aspectRatio": "landscape"
}
}
</mcp>
Or configure manually:
{
"mcpServers": {
"svgmaker": {
"type": "local",
"command": "npx",
"args": ["@genwave/svgmaker-mcp"],
"transport": "stdio",
"env": {
... [View full README on GitHub](https://github.com/GenWaveLLC/svgmaker-mcp#readme)