Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

GenWaveLLC/svgmaker-mcp

БесплатноНе проверен

Provides AI-driven SVG generation and editing via natural language, with real-time updates and secure file handling.

GitHubEmbed

Описание

Provides AI-driven SVG generation and editing via natural language, with real-time updates and secure file handling.

README

A powerful MCP server for generating, editing, and converting SVG images using SVGMaker API.

Website npm version License Build Status npm downloads

🎨 MCP Server in Action

MCP Capabilities Demo

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
  • 🖼️ Raster Mode: Skip vectorization and get a quick PNG instead of SVG
  • 🔄 Image-to-SVG Conversion: Convert any image to scalable SVG
  • 👁️ Inline Image Preview: Preview generations and gallery items directly in chat
  • 🔒 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

  • 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

  1. Create .env file:
SVGMAKER_API_KEY="your_api_key_here"
  1. Start the server:
npx svgmaker-mcp

🔌 LLM Integrations

🔌 Claude Desktop

  1. Add to claude_desktop_config.json:
{
  "mcpServers": {
    "svgmaker": {
      "command": "npx",
      "args": ["@genwave/svgmaker-mcp"],
      "transport": "stdio",
      "env": {
        "SVGMAKER_API_KEY": "your_api_key_here"
      }
    }
  }
}
  1. 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

Install MCP Server

Or configure manually:

  1. Configure in cursor settings:
{
  "mcpServers": {
    "svgmaker": {
      "type": "local",
      "command": "npx",
      "args": ["@genwave/svgmaker-mcp"],
      "transport": "stdio",
      "env": {
        "SVGMAKER_API_KEY": "your_api_key_here"
      }
    }
  }
}
  1. 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

Install in VS Code (npx)

Or configure manually:

  1. Configure in settings.json:
{
  "servers": {
    "svgmaker": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@genwave/svgmaker-mcp"],
      "env": {
        "SVGMAKER_API_KEY": "<your_api_key>"
      }
    }
  }
}
  1. 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

  1. Configure in settings:
{
  "mcpServers": {
    "svgmaker": {
      "command": "npx",
      "args": ["-y", "@genwave/svgmaker-mcp"],
      "env": {
        "SVGMAKER_API_KEY": "<your_api_key>"
      }
    }
  }
}
  1. 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

  1. Configure in settings:
{
  "context_servers": {
    "svgmaker": {
      "command": {
        "path": "npx",
        "args": ["-y", "@genwave/svgmaker-mcp"],
        "env": {
          "SVGMAKER_API_KEY": "<your_api_key>"
        }
      },
      "settings": {}
    }
  }
}
  1. 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"
}

Raster mode — set raster: true to skip vectorization and get a PNG instead of an SVG. Use a .png extension for output_path. Cannot be combined with storage (raster results are temporary).

{
  "prompt": "A minimalist mountain landscape with sun",
  "output_path": "/path/to/landscape.png",
  "quality": "medium",
  "raster": true
}
Parameter Type Description
raster boolean When true, returns a raster PNG instead of SVG (skips vectorization). Use a .png output path. Cannot be used with storage.
storage boolean When true, stores the generated image permanently in cloud storage. Cannot be used with raster. Defaults to true when raster is not set.

Style parameters (generate & edit)

All parameters below are optional and shared by svgmaker_generate and svgmaker_edit. Only specify the ones the user explicitly requests.

Parameter Values Default Description
quality low, medium, high medium Detail level vs. speed. high forces a square aspect ratio.
aspectRatio square, portrait, landscape auto (by quality) Output shape. Ignored when quality is high (forced square).
background auto, transparent, opaque auto Background style. transparent is good for overlays.
style flat, line_art, engraving, linocut, silhouette, isometric, cartoon, ghibli Art style.
color_mode full_color, monochrome, few_colors full_color Color scheme.
image_complexity icon, illustration, scene Level of detail in the composition.
composition centered_object, repeating_pattern, full_scene, objects_in_grid Layout arrangement.
text_style only_title, embedded_text How text is handled in the design.

svgmaker_edit

Edit existing SVGs or images with natural language. Supports the same style parameters as generate. Accepts a local file path or generation ID (works for both your own generations and public gallery items).

{
  "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"
}

Or edit directly from a generation ID (works for both generations and gallery items):

{
  "generation_id": "gen_abc123",
  "prompt": "Make the background blue",
  "output_path": "/path/to/edited.svg"
}

Raster mode — like generate, set raster: true to get a PNG instead of an SVG. Use a .png extension for output_path. Cannot be combined with storage.

{
  "input_path": "/path/to/input.svg",
  "prompt": "Make it more vibrant",
  "output_path": "/path/to/edited.png",
  "raster": true
}
Parameter Type Description
raster boolean When true, returns a raster PNG instead of SVG (skips vectorization). Use a .png output path. Cannot be used with storage.
storage boolean When true, stores the edited image permanently in cloud storage. Cannot be used with raster. Defaults to true when raster is not set.

svgmaker_convert

Convert raster images to SVG using AI-powered vectorization.

{
  "input_path": "/path/to/image.png",
  "output_path": "/path/to/vector.svg"
}

svgmaker_account_info

Get account information including email, display name, account type, and available credits. No parameters required.

{}

svgmaker_account_usage

Get API usage statistics with optional date filtering.

{
  "days": 30
}

Or use a date range:

{
  "start": "2026-01-01",
  "end": "2026-01-31"
}

svgmaker_generations_list

List your SVG generations with optional filtering and pagination.

{
  "page": 1,
  "limit": 20,
  "type": "generate",
  "query": "mountain"
}

svgmaker_generations_get

Get detailed information about a specific generation.

{
  "generation_id": "gen_abc123"
}

svgmaker_generations_delete

Delete a generation and its associated files. Requires a paid account.

{
  "generation_id": "gen_abc123"
}

svgmaker_generations_share

Share a generation by making it publicly accessible.

{
  "generation_id": "gen_abc123"
}

svgmaker_generations_download

Download a generation in various formats and save to a local file. Requires a paid account.

{
  "generation_id": "gen_abc123",
  "output_path": "/path/to/output.svg",
  "format": "svg"
}

svgmaker_generations_preview

Preview a generation by returning the image directly in the chat context as a PNG image. The LLM can see and describe the image, enabling follow-up edits.

{
  "generation_id": "gen_abc123"
}

svgmaker_gallery_list

Browse the public SVGMaker gallery with optional filtering and pagination.

{
  "page": 1,
  "limit": 20,
  "type": "generate",
  "query": "landscape",
  "pro": "true"
}

svgmaker_gallery_get

Get detailed information about a specific gallery item.

{
  "generation_id": "gal_abc123"
}

svgmaker_gallery_download

Download a gallery item in various formats and save to a local file. Costs 1 credit for SVG formats, 0 credits for WebP/PNG.

{
  "generation_id": "gal_abc123",
  "output_path": "/path/to/output.svg",
  "format": "svg"
}

svgmaker_gallery_preview

Preview a gallery item by returning the image directly in the chat context as a PNG image.

{
  "generation_id": "gal_abc123"
}

svgmaker_preview

Preview a local image file by returning it directly in the chat context. Supports PNG, SVG, WebP, and SVGZ formats.

{
  "file_path": "/path/to/image.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

  1. Clone and install dependencies:
npm install
  1. Create .env file with your API key
SVGMAKER_API_KEY="your_api_key_here"
  1. 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:

  1. Continuous Integration

    • Runs on every push to main branch and pull requests
    • Performs linting, type checking, and building
    • Ensures code quality and consistency
  2. Bumping the Version

    • For a patch version (bug fixes):
      npm run version:patch
      
    • For a minor version (new features):
      npm run version:minor
      
    • For a major version (breaking changes):
      npm run version:major
      
  3. Publishing

    • Automatically publishes to npm when the version bump is merged to main

🔐 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.

⭐ Features

Input Format Support

  • SVG files (.svg)
  • PNG images (.png)
  • JPEG images (.jpg, .jpeg)
  • Other common image formats

Output Capabilities

  • Clean, optimized SVG output
  • Multiple aspect ratio options
  • Background control (transparent/opaque)
  • High-quality vectorization

📝 License

MIT © Genwave AI - see the LICENSE file for details.

from github.com/GenWaveLLC/svgmaker-mcp

Установка GenWaveLLC/svgmaker-mcp

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/GenWaveLLC/svgmaker-mcp

FAQ

GenWaveLLC/svgmaker-mcp MCP бесплатный?

Да, GenWaveLLC/svgmaker-mcp MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для GenWaveLLC/svgmaker-mcp?

Да, требуются переменные окружения: SVGMAKER_API_KEY, SVGMAKER_DEBUG. Unyly подставит их в конфиг при установке.

GenWaveLLC/svgmaker-mcp — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить GenWaveLLC/svgmaker-mcp в Claude Desktop, Claude Code или Cursor?

Открой GenWaveLLC/svgmaker-mcp на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare GenWaveLLC/svgmaker-mcp with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории ai