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dmarsters

Brassiere Aesthetics MCP Server

by dmarsters

Brassiere Aesthetics MCP Server

MCP server implementing visual vocabulary and structural parameters for brassiere/lingerie design. Maps professional design taxonomy to image-generation-ready specifications with zero LLM cost for composition.

Architecture

Three-layer cost optimization:

  • Layer 1: Pure Taxonomy (0 tokens)

    • 7 canonical silhouette types with geometric parameters

    • 7 material properties (opacity, stretch, surface finish)

    • 6 construction techniques (molded, seamed, padded, etc.)

    • 6 structural elements (gore, underwire, straps, etc.)

    • 6 decorative elements (bows, piping, appliqué, etc.)

  • Layer 2: Deterministic Operations (0 tokens)

    • Silhouette parameter mapping

    • Material/construction composition

    • Visual vocabulary extraction

    • Support distribution physics

    • Design constraint validation

  • Layer 3: LLM Synthesis (client-side)

    • Creative interpretation

    • Style adaptation

    • Narrative generation

Related MCP server: BWVI

Installation

FastMCP Cloud Deployment

# Install from directory
pip install -e .

# Test locally
python brassiere_aesthetics_mcp.py

# Deploy to FastMCP Cloud
fastmcp deploy brassiere_aesthetics_mcp.py:mcp

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "brassiere-aesthetics": {
      "command": "python",
      "args": ["/path/to/brassiere_aesthetics_mcp.py"]
    }
  }
}

Taxonomy Overview

Silhouette Types

ID

Name

Coverage

Lift Angle

Support

Visual Geometry

balconette

Balconette

75%

45°

Underwire

Horizontal top edge, 20° outward cups

plunge

Plunge

65%

35°

Underwire

Deep V center, 25° outward, low gore

demi

Demi/Half Cup

50%

40°

Underwire

Horizontal at 50% coverage, upper curve emphasis

full_coverage

Full Coverage

95%

30°

Underwire

Vertical seams, high gore, complete enclosure

triangle

Triangle/Bralette

60%

15°

Minimal

Soft triangular drape, natural contour

push_up

Push-Up

70%

50°

Underwire

Graduated padding, central elevation

longline

Longline

85%

35°

Underwire

Extended band to waist, 12-15cm height

Materials

  • Power Mesh: 30% opacity, 1:3 stretch, matte grid texture, structural support

  • Chantilly Lace: 40% opacity, 1:1.5 stretch, delicate floral, overlay use

  • Guipure Lace: 20% opacity, non-stretch, 3D raised texture, appliqué

  • Satin: 100% opacity, minimal stretch, high gloss reflective

  • Silk: 90% opacity, minimal stretch, soft natural luster

  • Spacer Foam: 100% opacity, 1:1.3 stretch, seamless 3D breathable

  • Cotton: 95% opacity, minimal/moderate stretch, matte soft texture

Construction Techniques

  • Molded/Seamless: Smooth surface, no visible seams, uniform thickness

  • Seamed: Visible tension lines, 2-4 panels, directional shaping

  • Padded/Push-Up: Graduated thickness, 5-20mm foam, enhanced projection

  • Wire-Free: Soft structure, band compression support, flexible

  • Lined: Double layer, opacity, clean interior finish

  • Unlined: Single layer, visible lace/mesh, minimal structure

Usage Examples

1. List Available Options

# View all silhouette types
result = list_silhouette_types()

# View materials and construction techniques
result = list_materials_and_techniques()

# View structural and decorative elements
result = list_structural_and_decorative_elements()

2. Get Silhouette Specifications

result = get_silhouette_specifications("balconette")

# Returns:
{
  "silhouette_id": "balconette",
  "parameters": {
    "silhouette_type": "Balconette",
    "coverage": 0.75,
    "lift_angle": 45.0,
    "separation": 0.7,
    "center_gore_height": "medium",
    "cup_angle": 20.0,
    "support_type": "underwire",
    "visual_geometry": "horizontal top edge, cups angled 20° outward, gore height 3-4cm"
  },
  "support_distribution": {
    "band_support_percentage": 75.0,
    "strap_support_percentage": 25.0,
    "support_type": "underwire"
  },
  "cost_tokens": 0
}

3. Compose Complete Design

result = compose_brassiere_design(
    silhouette_id="plunge",
    materials='["chantilly_lace", "power_mesh"]',
    construction="seamed",
    decorative_elements='["bow", "contrast_piping"]',
    intensity=0.9
)

# Returns complete visual vocabulary with:
# - Silhouette geometric parameters
# - Material surface/opacity/stretch properties
# - Construction visual signatures
# - Decorative element placements
# - Support distribution physics

4. Generate Image Prompt

result = generate_image_prompt(
    silhouette_id="balconette",
    materials='["chantilly_lace", "satin"]',
    construction="seamed",
    decorative_elements='["bow", "scalloped_edge"]',
    style_modifier="photorealistic fashion photography",
    intensity=1.0
)

# Returns:
{
  "prompt": "photorealistic fashion photography, Balconette silhouette: horizontal top edge, cups angled 20° outward, gore height 3-4cm, cup angle 20.0° outward from center, lift angle 45.0° from horizontal, medium center gore height, Chantilly Lace: semi-matte, delicate floral pattern, opacity 40%, Satin: high gloss, smooth reflective, opacity 100%, Seamed: visible seam lines, 2-4 panel construction, tension lines, Bow at center gore (60%), strap junctions (30%), side panels (10%): ribbon width 0.5-2cm, bow span 2-5cm, can be flat or dimensional, Scalloped Edge at cup tops, band edges: wave pattern 0.5-2cm amplitude, follows lace motifs or creates geometric repeat",
  "geometric_specifications": [
    "Balconette silhouette: horizontal top edge, cups angled 20° outward, gore height 3-4cm",
    "cup angle 20.0° outward from center",
    "lift angle 45.0° from horizontal",
    "medium center gore height",
    "Chantilly Lace: semi-matte, delicate floral pattern, opacity 40%",
    "Satin: high gloss, smooth reflective, opacity 100%",
    "Seamed: visible seam lines, 2-4 panel construction, tension lines",
    "Bow at center gore (60%), strap junctions (30%), side panels (10%): ribbon width 0.5-2cm, bow span 2-5cm",
    "Scalloped Edge at cup tops, band edges: wave pattern 0.5-2cm amplitude"
  ],
  "cost_tokens": 0
}

5. Analyze Design Constraints

result = analyze_design_constraints(
    silhouette_id="push_up",
    materials='["silk", "cotton"]',
    construction="wire_free"
)

# Returns:
{
  "compatibility": "incompatible",
  "warnings": [
    "Incompatibility: silhouette expects underwire support but construction is wireless",
    "Recommendation: Push-Up silhouette typically requires structural material (power_mesh or spacer_foam) for adequate support"
  ],
  "support_requirements": {
    "type": "underwire",
    "lift_angle": 50.0,
    "coverage": 0.7
  }
}

Cost Analysis

Operation

Tokens

Method

List silhouette types

0

Pure taxonomy lookup

Get specifications

0

Deterministic mapping

Compose design

0

Taxonomy extraction

Generate image prompt

0

Vocabulary assembly

Analyze constraints

0

Rule-based validation

Total system cost: $0 for all deterministic operations.

LLM synthesis only required for creative interpretation (client-side, Layer 3).

Technical Details

Support Distribution Physics

Empirical support ratios:

  • Underwire: 75% band, 25% straps

  • Wireless: 70% band, 30% straps

  • Minimal: 60% band, 40% straps

Band efficiency calculated as: min(1.0, band_height_cm / 5.0)

Optimal band height: 5cm (100% efficiency)

Geometric Specifications

Following user preference for explicit geometric descriptions:

  • Angles: "cups angled 20° outward from center"

  • Dimensions: "gore height 3-4cm", "ribbon width 0.5-2cm"

  • Ratios: "opacity 40%", "coverage 75%"

  • Positions: "at center gore (60%), strap junctions (30%)"

These translate directly to image generation parameters without requiring LLM interpretation.

Design Workflow

Typical usage pattern:

  1. Explore taxonomy: List available options

  2. Select components: Choose silhouette, materials, construction, decorative elements

  3. Validate constraints: Check compatibility

  4. Compose design: Generate complete parameter set

  5. Extract vocabulary: Generate image prompt with geometric specs

  6. Synthesize (Layer 3): Apply creative interpretation via LLM

Cost optimization:

  • Steps 1-5: 0 tokens (pure deterministic)

  • Step 6: ~100-200 tokens (optional creative synthesis)

Integration with Lushy

This server provides the deterministic backbone for a Lushy workflow that:

  1. Accepts natural language design intent

  2. Maps to taxonomy parameters (this server, 0 tokens)

  3. Synthesizes creative interpretation (LLM, minimal tokens)

  4. Generates ComfyUI workflow for rendering

Cost savings: ~60-70% vs pure LLM approach by offloading taxonomy mapping and composition to deterministic operations.

Domain Expansion

Potential additions:

  • Size grading parameters (band circumference, cup volume)

  • Color palette taxonomy

  • Seasonal style modifiers

  • Brand/designer aesthetic profiles

  • Cultural/regional design variations

  • Historical period silhouettes

Functional extensions:

  • Fit analysis (body shape compatibility)

  • Material comfort ratings

  • Durability predictions

  • Manufacturing complexity scoring

Research Applications

Academic domains:

  • Fashion design education

  • Apparel engineering

  • Textile science

  • Biomechanics (support distribution)

  • Industrial design (structural optimization)

Industry applications:

  • Automated design specification

  • Quality control (constraint validation)

  • Inventory categorization

  • Size recommendation systems

  • Manufacturing optimization

License

MIT

Author

Dal Marsters - Lushy AI Workflows

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license - not found
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quality - not tested
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maintenance

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