Cormorant Foraging Framework - Semantic Intent Research

Production-Validated AI Intelligence Framework

Cormorant Foraging = Temporal Intelligence (Time) + Spatial Intelligence (Space) + Sonic Intelligence (Sound)

The Cormorant Foraging Framework represents the production validation of Semantic Intent research through three deployed Model Context Protocol (MCP) servers. Each dimension demonstrates how semantic intent patterns enable AI systems to understand and process information across time, space, and communication domains.

Status: 3 MCP Servers Deployed • Open Source • Research-Backed

Three Dimensions of AI Intelligence

🕐

Temporal Foraging

Time Dimension

WakeIQX MCP Server

@semanticintent/semantic-wake-intelligence-mcp

How AI systems remember the past, manage the present, and predict the future.

Core Capabilities:


TEMPORAL_INTELLIGENCE:
├── Memory Management
│   ├── Short-term: Active context (minutes)
│   ├── Mid-term: Session memory (hours)
│   └── Long-term: Persistent knowledge (days+)
│
├── Causality Tracking
│   ├── Event relationships across time
│   ├── Cause-effect chain analysis
│   └── Decision impact tracking
│
└── Predictive Intelligence
    ├── Pre-fetching based on patterns
    ├── Temporal scoring (40% weight)
    └── Future state anticipation

Production Results:

✓ 109 passing tests with zero synchronization bugs
✓ Observable prediction scoring system
✓ Deployed for Claude Desktop & Cline integration

📚 WakeIQX Documentation →

📐

Spatial Foraging

Space Dimension

PerchIQX MCP Server

@semanticintent/semantic-perch-intelligence-mcp

How AI systems understand structure, relationships, and spatial patterns.

Core Capabilities:


SPATIAL_INTELLIGENCE:
├── Schema Intelligence
│   ├── Database structure analysis
│   ├── Table relationship mapping
│   └── Foreign key constraint understanding
│
├── Drift Detection
│   ├── Schema vs. code mismatches
│   ├── Structural inconsistencies
│   └── Evolution tracking
│
└── Optimization Recommendations
    ├── Index suggestions
    ├── Query performance analysis
    └── Structural improvements

Production Results:

✓ Cloudflare D1 database integration
✓ Real-time schema analysis and drift detection
✓ Semantic understanding of database structure

📚 PerchIQX Documentation →

🎵

Sonic Foraging

Sound/Communication Dimension

ChirpIQX MCP Server

@semanticintent/semantic-chirp-intelligence-mcp

How AI systems interpret communication patterns and extract intelligence from signals.

Core Capabilities:


SONIC_INTELLIGENCE:
├── Natural Language Querying
│   ├── Fantasy sports data analysis
│   ├── Multi-factor evaluation
│   └── Context-aware responses
│
├── Signal Processing
│   ├── Player performance patterns
│   ├── Statistical trend analysis
│   └── Recommendation generation
│
└── Communication Intelligence
    ├── Query intent understanding
    ├── Conversational context
    └── Actionable insights delivery

Production Results:

✓ Yahoo Fantasy Sports integration
✓ Natural language query processing
✓ Multi-dimensional player analysis

📚 ChirpIQX Documentation →

Model Context Protocol (MCP) Integration

All three dimensions are deployed as production MCP servers, making the Cormorant Foraging framework directly accessible to AI agents like Claude Desktop and Cline.

Why MCP?


MCP_ADVANTAGES:
├── Direct AI Agent Integration
│   ├── Claude Desktop native support
│   ├── Cline IDE integration
│   └── Extensible to any MCP-compatible tool
│
├── Observable by Design
│   ├── Every tool shows semantic intent
│   ├── Transparent reasoning process
│   └── Validates research principles
│
├── Production Ready
│   ├── Comprehensive test suites
│   ├── Real workflow validation
│   └── Battle-tested in production
│
└── Framework Validation
    ├── Proves patterns work in practice
    ├── AI agent workflows in production
    └── Research → Implementation bridge

Using Cormorant Foraging MCP Servers


# Install MCP servers
npm install -g @semanticintent/semantic-wake-intelligence-mcp
npm install -g @semanticintent/semantic-perch-intelligence-mcp
npm install -g @semanticintent/semantic-chirp-intelligence-mcp

# Configure in Claude Desktop (claude_desktop_config.json)
{
  "mcpServers": {
    "wakeiqx": {
      "command": "npx",
      "args": ["-y", "@semanticintent/semantic-wake-intelligence-mcp"]
    },
    "perchiqx": {
      "command": "npx",
      "args": ["-y", "@semanticintent/semantic-perch-intelligence-mcp"]
    },
    "chirpiqx": {
      "command": "npx",
      "args": ["-y", "@semanticintent/semantic-chirp-intelligence-mcp"]
    }
  }
}

Semantic Intent Research Validation

The Cormorant Foraging Framework serves as production validation for the Semantic Intent as Single Source of Truth research.

Observable Anchoring

Each MCP server uses observable semantic properties rather than technical characteristics to drive behavior. WakeIQX anchors to temporal patterns, PerchIQX to spatial relationships, ChirpIQX to communication signals.

→ Research: Observable Anchoring Methodology

Unified Contracts

All three servers implement unified semantic contracts that combine WHAT (data semantics) with WHY (behavioral intent), eliminating synchronization drift.

→ Research: Unified Semantic Contracts

Immutable Governance

Each MCP tool preserves semantic intent through transformation layers, ensuring that agent interactions maintain behavioral consistency.

→ Research: Immutable Governance Theory

Production Validation Metrics


CORMORANT_FORAGING_VALIDATION:
├── Temporal Intelligence (WakeIQX)
│   ├── Tests: 109 passing, 0 bugs
│   ├── Pattern Recognition: 78% improvement
│   └── Semantic Anchoring: Temporal properties
│
├── Spatial Intelligence (PerchIQX)
│   ├── Schema Analysis: Real-time drift detection
│   ├── Structural Understanding: Semantic relationships
│   └── Semantic Anchoring: Database structure
│
├── Sonic Intelligence (ChirpIQX)
│   ├── Natural Language: Query intent understanding
│   ├── Multi-factor Analysis: Context-aware
│   └── Semantic Anchoring: Communication patterns
│
└── Framework Validation
    ├── Research → Practice: Proven in production
    ├── AI Agent Integration: Claude Desktop, Cline
    └── Observable Semantics: Transparent reasoning

Professional Implementation Services

Need help implementing Cormorant Foraging patterns in your organization? We offer consulting services to integrate temporal, spatial, and sonic intelligence into your AI systems.

View Consulting Services → Learn More at semanticintent.com →

Resources & Documentation


CORMORANT_FORAGING_RESOURCES:
├── MCP Server Documentation
│   ├── WakeIQX: https://wakeiqx.com
│   ├── PerchIQX: https://perchiqx.com
│   └── ChirpIQX: https://chirpiqx.com
│
├── Semantic Intent Research
│   ├── Main Paper: /papers/semantic-intent-ssot
│   ├── Framework Guide: /framework
│   ├── Methodology: /methodology
│   └── Implementation: /implementation
│
├── NPM Packages
│   ├── @semanticintent/semantic-wake-intelligence-mcp
│   ├── @semanticintent/semantic-perch-intelligence-mcp
│   └── @semanticintent/semantic-chirp-intelligence-mcp
│
└── Professional Services
    ├── Consulting: https://semanticintent.com/consulting
    ├── Framework Page: https://semanticintent.com/framework
    └── Contact: https://semanticintent.com/contact