SVGMaker▌

by genwavellc
SVGMaker is an svg generator and creator that converts photos into vector graphic file types, with editing and real-time
Integrates with SVGMaker's API to generate SVGs from text descriptions, edit existing images, and convert bitmap images to vector format with customizable quality settings and real-time progress tracking.
best for
- / Designers creating scalable graphics from descriptions
- / Developers automating SVG generation workflows
- / Content creators converting images to vector format
capabilities
- / Generate SVGs from text descriptions
- / Edit existing SVGs with natural language commands
- / Convert bitmap images to SVG format
- / Customize quality settings for conversions
- / Track progress of operations in real-time
what it does
Connects to SVGMaker API to generate SVG images from text descriptions, edit existing SVGs with natural language, and convert bitmap images to vector format.
about
SVGMaker is a community-built MCP server published by genwavellc that provides AI assistants with tools and capabilities via the Model Context Protocol. SVGMaker is an svg generator and creator that converts photos into vector graphic file types, with editing and real-time It is categorized under ai ml.
how to install
You can install SVGMaker in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
SVGMaker is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
SVGMaker MCP Server
A powerful MCP server for generating, editing, and converting SVG images using SVGMaker API.
🎨 MCP Server in Action
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.
🌟 Highlights
- 🎨 AI-Powered SVG Generation: Create SVGs from text descriptions
- ✏️ Smart SVG Editing: Edit existing SVGs with natural language
- 🔄 Image-to-SVG Conversion: Convert any image to scalable SVG
- 🔒 Secure File Operations: Built-in path validation and security
- ⚡ Real-Time Progress: Live updates during operations
- 📝 Type Safety: Full TypeScript support with type definitions
📋 Table of Contents
- Requirements
- Installation
- Quick Start
- LLM Integrations
- Available Tools
- Configuration
- Development
- Contributing
💻 Requirements
- Node.js: Minimum version 18.0.0
node --version # Should be >= v18.0.0 - npm: Minimum version 7.0.0
npm --version # Should be >= 7.0.0 - Operating Systems:
- Linux (Ubuntu 20.04+, CentOS 8+)
- macOS (10.15+)
- Windows (10+)
- SVGMaker API key (Get one here)
📦 Package Structure
@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
🚀 Installation
# Using npm
npm install @genwave/svgmaker-mcp
# Using yarn
yarn add @genwave/svgmaker-mcp
Basic Setup
- Create .env file:
SVGMAKER_API_KEY="your_api_key_here"
- Start the server:
npx svgmaker-mcp
🔌 LLM Integrations
🔌 Claude Desktop
- Add to claude_desktop_config.json:
{
"mcpServers": {
"svgmaker": {
"command": "npx",
"args": ["@genwave/svgmaker-mcp"],
"transport": "stdio",
"env": {
"SVGMAKER_API_KEY": "your_api_key_here"
}
}
}
}
- Example Claude prompt:
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>
🔌 Cursor
Or configure manually:
- Configure in cursor settings:
{
"mcpServers": {
"svgmaker": {
"type": "local",
"command": "npx",
"args": ["@genwave/svgmaker-mcp"],
"transport": "stdio",
"env": {
"SVGMAKER_API_KEY": "your_api_key_here"
}
}
}
}
- Example usage in Cursor:
Use svgmaker to edit the logo.svg file and make it more modern:
<mcp>
{
"server": "svgmaker",
"tool": "svgmaker_edit",
"arguments": {
"input_path": "./logo.svg",
"prompt": "Make it more modern and minimalist",
"output_path": "./modern_logo.svg",
"quality": "high"
}
}
</mcp>
🔌 Visual Studio Code
Or configure manually:
- Configure in settings.json:
{
"servers": {
"svgmaker": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@genwave/svgmaker-mcp"],
"env": {
"SVGMAKER_API_KEY": "<your_api_key>"
}
}
}
}
- Example usage in VS Code:
Generate a new icon for my app:
<mcp>
{
"server": "svgmaker",
"tool": "svgmaker_generate",
"arguments": {
"prompt": "Modern app icon with abstract geometric shapes",
"output_path": "./assets/icon.svg",
"quality": "high",
"aspectRatio": "square"
}
}
</mcp>
🔌 WindSurf
- Configure in settings:
{
"mcpServers": {
"svgmaker": {
"command": "npx",
"args": ["-y", "@genwave/svgmaker-mcp"],
"env": {
"SVGMAKER_API_KEY": "<your_api_key>"
}
}
}
}
- Example usage in WindSurf:
Convert the company logo to SVG:
<mcp>
{
"server": "svgmaker",
"tool": "svgmaker_convert",
"arguments": {
"input_path": "./branding/logo.png",
"output_path": "./branding/vector_logo.svg"
}
}
</mcp>
🔌 Zed
- Configure in settings:
{
"context_servers": {
"svgmaker": {
"command": {
"path": "npx",
"args": ["-y", "@genwave/svgmaker-mcp"],
"env": {
"SVGMAKER_API_KEY": "<your_api_key>"
}
},
"settings": {}
}
}
}
- Example usage in Zed:
Edit an existing SVG file:
<mcp>
{
"server": "svgmaker",
"tool": "svgmaker_edit",
"arguments": {
"input_path": "./diagrams/flowchart.svg",
"prompt": "Add rounded corners and smooth gradients",
"output_path": "./diagrams/enhanced_flowchart.svg",
"quality": "high"
}
}
</mcp>
🛠️ Available Tools
svgmaker_generate
Generate SVG images from text prompts. Supports style parameters for fine-grained control over the output.
{
"prompt": "A minimalist mountain landscape with sun",
"output_path": "/path/to/landscape.svg",
"quality": "medium",
"style": "flat",
"color_mode": "few_colors",
"composition": "full_scene",
"background": "transparent"
}
svgmaker_edit
Edit existing SVGs or images with natural language. Supports the same style parameters as generate.
{
"input_path": "/path/to/input.svg",
"prompt": "Add a gradient background and make it more vibrant",
"output_path": "/path/to/enhanced.svg",
"quality": "high",
"style": "cartoon",
"background": "opaque"
}
svgmaker_convert
Convert raster images to SVG using AI-powered vectorization.
{
"input_path": "/path/to/image.png",
"output_path": "/path/to/vector.svg"
}
⚙️ Configuration
Environment Variables
| Variable | Description | Required | Default |
|---|---|---|---|
SVGMAKER_API_KEY | Your SVGMaker API key | ✅ Yes | - |
SVGMMAKER_RATE_LIMIT_RPM | API rate limit (requests per minute) | ❌ No | 2 |
SVGMAKER_BASE_URL | Custom SVGMaker API base URL | ❌ No | https://api.svgmaker.io |
SVGMAKER_DEBUG | Enable debug logging | ❌ No | false |
Debug Logging
The server includes comprehensive logging for debugging and monitoring:
Enable Logging:
# Enable debug logging
SVGMAKER_DEBUG=true npx @genwave/svgmaker-mcp
# Or set NODE_ENV to development
NODE_ENV=development npx @genwave/svgmaker-mcp
Log Files Location:
- macOS/Linux:
~/.cache/svgmaker-mcp/logs/ - Windows:
%LOCALAPPDATA%/svgmaker-mcp/logs/ - Fallback:
./logs/(in project directory)
Log File Format:
mcp-debug-2025-06-04T10-30-45-123Z.log
🔍 Development
Local Setup
- Clone and install dependencies:
npm install
- Create .env file with your API key
SVGMAKER_API_KEY="your_api_key_here"
- Run in development mode:
npm run dev
Testing
Use the MCP Inspector for testing:
npx @modelcontextprotocol/inspector node build/index.js
CI/CD Workflow
This project uses GitHub Actions for continuous integration and deployment:
-
Continuous Integration
- Runs on every push to main branch and pull requests
- Performs linting, type checking, and building
- Ensures code quality and consistency
-
Releasing a New Version
- To release a patch version (bug fixes):
npm run release:patch - To release a minor version (new features):
npm run release:minor - To release a major version (breaking changes):
npm run release:major
- To release a patch version (bug fixes):
-
Publishing
- Automatically publishes to npm when a new version tag is pushed
🔐 Security
- ✅ Path validation prevents directory traversal
- ✅ Input sanitization for all parameters
- ✅ Secure file operation handling
- ✅ Environment variable protection
- ✅ Rate limiting support
🤝 Contributing
We welcome contributions! Please see our Contributing Guide for details.
FAQ
- What is the SVGMaker MCP server?
- SVGMaker is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for SVGMaker?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
SVGMaker is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated SVGMaker against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: SVGMaker is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
SVGMaker reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend SVGMaker for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: SVGMaker surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
SVGMaker has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, SVGMaker benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired SVGMaker into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
SVGMaker is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.