quiver-mcp

MCP server for QuiverAI — generate SVGs from text prompts and vectorize raster images using AI.

Requirements

Node.js 18+
A QuiverAI API key

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "quiverai": {
      "command": "npx",
      "args": ["-y", "@syntropic/quiver-mcp"],
      "env": {
        "QUIVERAI_API_KEY": "your_api_key_here"
      }
    }
  }
}

Manual

npm install -g @syntropic/quiver-mcp
QUIVERAI_API_KEY=your_api_key_here quiver-mcp

Tools

`generate_svg`

Generate one or more SVGs from a text prompt.

| Parameter | Type | Required | Description | |---|---|---|---| | prompt | string | yes | Text description of the SVG to generate | | model | string | yes | Model ID (use list_models to discover options) | | instructions | string | no | Additional style or formatting guidance | | n | number | no | Number of SVGs to generate (default: 1) | | temperature | number | no | Sampling temperature 0–2 (default: 1) | | references | array | no | Up to 4 image references ({url} or {base64}) for palette and composition guidance. Style keywords must still be in the prompt text. | | outputPath | string | no | Absolute file path to save SVG(s) to disk. For multiple variants (n > 1), files are saved with _1, _2 … suffixes. Parent directories are created automatically. |

Prompt tips

The tool description includes extensive prompt guidance, but in short:

Structure prompts with three parts: subject (concrete object), style (aesthetic keywords like line art, isometric, flat monochrome), and color palette (hex codes where possible).
Use famous physical objects the model knows. Avoid abstract software concepts (AI agent, workflow) — use physical metaphors instead.
For exploration, generate 3+ variants at temperature: 0.9. Some generations produce corrupted tails; extra variants give you options.

`vectorize_svg`

Convert a raster image (PNG, JPG, etc.) to SVG.

| Parameter | Type | Required | Description | |---|---|---|---| | model | string | yes | Model ID | | image | object | yes | Image to vectorize — {url} or {base64} | | autoCrop | boolean | no | Crop to dominant subject before vectorizing (default: false) | | targetSize | number | no | Square resize target in pixels before vectorizing | | temperature | number | no | Sampling temperature 0–2 (default: 1) | | outputPath | string | no | Absolute file path to save the SVG to disk. Parent directories are created automatically. |

`list_models`

List all available QuiverAI models with supported operations and pricing.

Environment Variables

| Variable | Description | |---|---| | QUIVERAI_API_KEY | Required. Your QuiverAI API key |

Development

npm install
npm run build   # compile TypeScript
npm run dev     # watch mode

License

MIT

MCP Servers