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Quiver-MCP

Quiver-MCP

by syntropicsignal-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

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/.

Related MCP server: Quiver AI MCP Server

Requirements

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

Available Tools

3 tools
generate_svgA

Generate one or more SVGs from a text prompt using QuiverAI. Returns raw SVG markup.

Prompt guide

A good prompt has three parts: subject (specific object), style (aesthetic keywords), and color palette (hex codes if possible).

What works

  • Use concrete, famous physical objects the model has seen (AirPods, Nike Dunks, Shure SM7B, Montblanc pen, Leica camera, Nest thermostat, espresso machines). Cylindrical/round objects explode especially cleanly in isometric style.

  • Name the style explicitly: 'line art', 'hand drawn', 'duotone', 'flat monochrome icon', 'geometric', 'minimalist', 'isometric', 'blueprint'.

  • Specify colors with hex codes: 'background: #e9edc9 and logo in #fb8500'.

  • Add composition framing: 'centered icon', 'wide horizontal logo'.

  • Prompt modifiers: 'geometric' → angular shapes, 'detailed' → more elements, 'simple' → clearer shapes, 'minimalist' → fewer details, 'flat monochrome' → single-color, 'duotone' → two-color.

What does NOT work

  • NEVER mention 'AI', 'machine learning', 'voice assistant', 'workflow automation', or abstract software concepts — produces garbage. Use physical metaphors instead (microphone for voice, watch movement for precision).

  • Abstract concepts without physical objects: 'knowledge graph', 'automation pipeline', 'data flow'.

  • Obscure B2B hardware the model hasn't seen (e.g. Loxone Miniserver → generic blob).

  • 'minimalist line icon' constraints — model ignores them and fills with color.

Iteration strategy

Start specific, not vague. Bad: 'Tech logo'. Better: 'Tech startup logo with geometric shapes, blue gradient'. Best: 'SaaS productivity logo with connected geometric nodes, electric blue to purple gradient, clean modern style'.

Verified template

exploded isometric view of a {FAMOUS_OBJECT}, technical blueprint drawing, thin line art, dotted grid background, labeled components, engineering illustration

Known issues

  • ~1 in 10 generations have corrupted SVG tails (malformed XML). Generate 3+ variants as insurance.

  • Model may ignore 'no fills'/'monochrome' and hardcode its own palette. Post-process with find/replace for brand colors.

  • First call may 504 — retry succeeds.

Inputs: prompt (required), model (required), instructions, n, +3 more.

list_modelsA

List all models available on QuiverAI, including supported operations (svg_generate, svg_vectorize, etc.) and pricing.

Inputs: no named parameters.

vectorize_svgA

Convert a raster image (PNG, JPG, etc.) into an SVG using QuiverAI. Provide the image as a URL or base64-encoded string.

Inputs: model (required), image (required), autoCrop, targetSize, +2 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a distinct purpose: generating SVGs from prompts, listing models, and vectorizing images. There is no overlap.

    Naming Consistency5/5

    All tool names follow consistent snake_case with verb_noun pattern (generate_svg, list_models, vectorize_svg).

    Tool Count4/5

    Three tools is on the low side but reasonable for a focused server. The scope is narrow enough that each tool earns its place.

    Completeness3/5

    Core SVG creation (from text and images) and model listing are covered, but missing operations like fetching/updating/deleting individual SVGs or batch processing.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources

    Related MCP Connectors

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