quiver-mcp

MCP server for QuiverAI — generate SVGs from text prompts and vectorize raster images using AI, directly from Claude (or any MCP-compatible client).

Examples

Generated by Claude calling this MCP. Each took ~60s at n: 3, temperature: 0.9. Both prompts are documented in the tool description, so Claude knows the recipe.


Prompt: exploded isometric view of a Montblanc Meisterstück fountain pen, technical blueprint drawing, thin line art, dotted grid background, labeled components, engineering illustration	Prompt: Japanese crane in traditional woodblock illustration style with warm earth tones Instructions: Use a warm muted palette with detailed feather work

More variants in examples/.

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

Quiver-MCP