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Frasurbane MCP Server

Provides tools for analyzing and generating content in the Frasurbane aesthetic through a structured taxonomy of typography, color palettes, and photography parameters. It enables users to enhance image-gen prompts and evaluate compositional tension using a specialized 5D coordinate system.

glama
Updated
Mar 18, 2026

Frasurbane MCP Server

Consumer aesthetic enhancement system for the Frasurbane visual vocabulary, as catalogued by CARI (Consumer Aesthetics Research Institute).

Aesthetic Overview

Frasurbane covers the late 1980s to mid-1990s advertising and retail aesthetic targeting affluent suburban Baby Boomers and Gen X. Named as a portmanteau of Frasier (the TV show whose interior design epitomizes the style) and urbane. The most subdued and sophisticated aesthetic to emerge from the Memphis Design postmodern explosion.

Defining characteristics:

  • Italicized serif typography — Garamond, Caslon, Palatino, Times
  • Warm sepia and B&W photography; soft-focus; heavily staged product photography
  • Classical and Renaissance motifs as authority and heritage signals
  • Ecological and natural elements as purity and wellness credentials
  • Adult contemporary register — grunge filtered through suburban affluence

Architecture

Three-layer olog pattern:

LayerTypeCost
Layer 1Deterministic taxonomy (visual types, typography, palettes, motifs, photography)Zero — no LLM calls
Layer 2Conflict scoring — structural tension analysis across parameter pairsZero — matrix lookup
Layer 3Prompt enhancement — compositional assembly to image-gen vocabularySingle assembly operation

Tools

ToolPurpose
get_frasurbane_visual_types6 visual subtypes with 5D coordinates
get_frasurbane_typography5 typography profiles with families, treatments, hex values
get_frasurbane_color_palette4 color palettes with full hex/RGB specifications
get_frasurbane_motif_taxonomy5 motif categories with named elements
get_frasurbane_photography_params5 photography profiles with prompt vocabulary
compute_frasurbane_conflict_scorePairwise structural tension between any two parameters
analyze_frasurbane_compositionFull five-parameter composition analysis
enhance_prompt_with_frasurbaneBase prompt → Frasurbane-enhanced image-gen prompt
get_server_infoServer metadata and capability index

5D Coordinate System

AxisRangeMeaning
x0.0–1.0Typographic Formality: grunge/sans → heavy italic serif
y0.0–1.0Tonal Temperature: cool B&W → warm sepia
z0.0–1.0Classical Weight: contemporary → Renaissance/classical
w0.0–1.0Ecological Integration: pure product → nature-forward
v0.0–1.0Staging Theatricality: candid → heavily staged

Conflict Scoring

Conflict scores (0.0–1.0) measure structural tension between parameter pairs. High scores indicate compositional complexity, not failure. The conflict matrix covers documented tension patterns between typography profiles, photography modes, motif categories, color palettes, and visual types.

FastMCP Cloud Deployment

Entry point: frasurbane_mcp.py:mcp

The server object is returned, not run — FastMCP Cloud manages the event loop.

Local Execution

pip install fastmcp
python -m frasurbane_mcp

Reference

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