advanced-prompting-engine

Advanced Prompting Engine

A universal prompt creation engine delivered as an MCP server. Measures intent across 12 philosophical dimensions and returns a construction basis from which the client constructs prompts.

The engine does not generate prompts. It provides the dimensional foundation — active constructs, spectrum opposites, tensions, gems, spokes, harmonization pairs, and construction questions — that make prompt construction principled rather than heuristic.

Quick Start

# Install
pip install advanced-prompting-engine

# Or run directly via uvx
uvx advanced-prompting-engine

MCP Configuration

Add to your .mcp.json:

{
  "mcpServers": {
    "advanced-prompting-engine": {
      "command": "uvx",
      "args": ["advanced-prompting-engine"]
    }
  }
}

What It Does

The engine positions your intent in a 12-dimensional philosophical manifold:

Face	Sub-dimensions	Phase
Ontology	Particular ↔ Universal, Static ↔ Dynamic	Comprehension
Epistemology	Empirical ↔ Rational, Certain ↔ Provisional	Comprehension
Axiology	Absolute ↔ Relative, Quantitative ↔ Qualitative	Comprehension
Teleology	Immediate ↔ Ultimate, Intentional ↔ Emergent	Comprehension
Phenomenology	Objective ↔ Subjective, Surface ↔ Deep	Comprehension
Ethics	Deontological ↔ Consequential, Agent ↔ Act	Evaluation
Aesthetics	Autonomous ↔ Contextual, Sensory ↔ Conceptual	Evaluation
Praxeology	Individual ↔ Coordinated, Reactive ↔ Proactive	Application
Methodology	Analytic ↔ Synthetic, Deductive ↔ Inductive	Application
Semiotics	Explicit ↔ Implicit, Syntactic ↔ Semantic	Application
Hermeneutics	Literal ↔ Figurative, Author-intent ↔ Reader-response	Application
Heuristics	Systematic ↔ Intuitive, Conservative ↔ Exploratory	Application

Each face is a 12x12 grid of 144 epistemic observation points. Position determines classification (corner/midpoint/edge/center), potency, and spectrum membership. The 12 faces are organized as 6 complementary pairs (cube model) with harmonization through shared surfaces. The engine computes tensions via positional correspondence, gems (inter-face integrations) with cube tier modulation, spokes (per-face behavioral signatures), and a central gem coherence score.

Tools

Tool	Purpose
create_prompt_basis	Primary — intent or coordinate in, construction basis out
interpret_basis	Interpretation — plain-language reading of a construction basis
explore_space	Expert — graph traversal, stress testing, triangulation
extend_schema	Authoring — add constructs and relations with contradiction detection

Example: Natural Language Intent

create_prompt_basis(intent="Design an ethical framework for autonomous vehicle decision-making")

The engine locates this intent across all 12 philosophical dimensions and returns:

{
  "coordinate": {
    "epistemology":  {"x": 4, "y": 4, "weight": 0.76},
    "ontology":      {"x": 6, "y": 5, "weight": 0.73},
    "praxeology":    {"x": 7, "y": 4, "weight": 0.72},
    "heuristics":    {"x": 5, "y": 3, "weight": 0.66},
    "phenomenology": {"x": 7, "y": 4, "weight": 0.61},
    "ethics":        {"x": 6, "y": 4, "weight": 0.53},
    "...": "...all 12 faces with (x,y) position and relevance weight"
  },
  "harmonization": [
    {"pair": ["ontology", "praxeology"], "resonance": 0.15},
    {"pair": ["axiology", "ethics"],     "resonance": 0.05},
    "...6 complementary pairs with resonance scores"
  ],
  "spokes": {
    "ontology":      {"classification": "weakly_integrated", "strength": 0.042},
    "epistemology":  {"classification": "weakly_integrated", "strength": 0.039},
    "...": "...per-face behavioral signatures"
  },
  "central_gem": {"coherence": 0.69, "classification": "highly_coherent"},
  "construction_questions": {
    "ethics": {
      "template": "What moral obligations does this prompt impose or assume?",
      "position_summary": "balanced Deontological/Consequential + moderately Agent-focused",
      "meaning_mechanism": "composition",
      "phase": "evaluation"
    },
    "...": "...12 position-specific philosophical questions to guide prompt construction"
  }
}