Frasurbane MCP Server

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.

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README

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:

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

Tools

Tool Purpose
get_frasurbane_visual_types 6 visual subtypes with 5D coordinates
get_frasurbane_typography 5 typography profiles with families, treatments, hex values
get_frasurbane_color_palette 4 color palettes with full hex/RGB specifications
get_frasurbane_motif_taxonomy 5 motif categories with named elements
get_frasurbane_photography_params 5 photography profiles with prompt vocabulary
compute_frasurbane_conflict_score Pairwise structural tension between any two parameters
analyze_frasurbane_composition Full five-parameter composition analysis
enhance_prompt_with_frasurbane Base prompt → Frasurbane-enhanced image-gen prompt
get_server_info Server metadata and capability index

5D Coordinate System

Axis Range Meaning
x 0.0–1.0 Typographic Formality: grunge/sans → heavy italic serif
y 0.0–1.0 Tonal Temperature: cool B&W → warm sepia
z 0.0–1.0 Classical Weight: contemporary → Renaissance/classical
w 0.0–1.0 Ecological Integration: pure product → nature-forward
v 0.0–1.0 Staging 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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