Semantic Chirp IntelligenceFantasy Hockey MCP

Quick Start ​

ChirpIQX is available as a custom MCP integration for Claude Desktop. The system integrates dual APIs for comprehensive analysis:

• Yahoo Fantasy API - Player stats and league management
• NHL Edge API - Advanced schedule and games-in-hand analysis

Custom Integration Features ​

Custom deployment options include:

• Yahoo Fantasy credential configuration
• NHL Edge API integration for accurate games-per-week analysis
• Claude Desktop MCP setup
• League-specific optimization

Note: This represents a production-grade implementation of the Semantic Intent pattern. For research and educational purposes, see the Playground for interactive examples of how the 7-layer cognitive architecture works. Other open-source MCP implementations are available at github.com/semanticintent.

What is Semantic Chirp Intelligence? ​

Semantic Chirp Intelligence is a Model Context Protocol (MCP) server that brings competitive fantasy hockey intelligence to your AI assistant. Named after hockey's tradition of "chirping" (strategic trash talk on the ice), this tool gives you the data-driven edge to talk the talk and walk the walk in your fantasy league.

ChirpIQX represents a custom solution that may become available as part of broader fantasy sports intelligence offerings. The documentation showcases the architectural approach and demonstrates the Semantic Intent pattern applied to real-world fantasy hockey analytics.

Why "Chirp"? ​

In hockey, chirping is the art of getting in your opponent's head with smart, strategic banter. Semantic Chirp Intelligence brings that same competitive edge to fantasy hockey—giving you insights sharp enough to back up your league trash talk with championships.

Core Philosophy ​

1. Smart Chirps - Data-driven insights, not just noise
2. Winning Insights - Every tool focused on competitive advantage
3. Analytics with an Edge - Professional-grade analysis, hockey culture personality

Key Features ​

🎯 MCP Tools ​

• Team Management - Roster analysis, lineup optimization, injury tracking
• Player Analysis - Detailed stats, trends, projections
• Breakout Detection - Identify emerging talent before your league
• League Intelligence - Standings, matchups, waiver wire insights
• Roster Optimization - "ICE" algorithm for strategic decisions

📡 Dual API Architecture ​

Yahoo Fantasy API integration for:

• Real-time player stats and availability
• League standings and schedules
• Roster management and transactions
• Trending players and waiver wire
• Historical data and projections

NHL Edge API integration for:

• Advanced schedule analysis
• Games-per-week calculations for waiver strategy
• Team performance trends
• Schedule-aware roster recommendations

🧠 AI-Powered Analysis ​

• Natural language query interface
• Semantic intent recognition
• Context-aware recommendations
• Trend detection algorithms
• Statistical significance analysis

Architecture ​

Built on the Semantic Intent Pattern:

// Natural language input
"Who should I pick up from waivers?"

// Semantic intent detection
intent: "roster_optimization"
context: { need: "waiver_pickup", league: "active" }

// Intelligence gathering
- Analyze available players
- Compare to roster needs
- Factor in trends and matchups

// Actionable response
"Top 3 waiver targets: [Player A, Player B, Player C]
with statistical justification"

Use Cases ​

📈 Analytics Edge ​

• Track shooting percentage regression candidates
• Monitor ice time allocation changes
• Identify power play opportunity trends
• Detect lineup changes before they're announced

🤖 AI Workflow Integration ​

• Query your team via Claude AI
• Automated daily roster reviews
• Natural language trade analysis
• Conversational fantasy hockey assistant

Documentation ​

• Getting Started - Installation and configuration
• Tools Overview - Complete MCP tool reference
• API Reference - Technical documentation
• Strategy Guide - Winning approaches
• Development - Architecture and contributing

Learn More & Connect ​

• Technical Documentation: Explore the architecture and Semantic Intent pattern
• Interactive Examples: Try the Playground to see the 7-layer cognitive system in action
• Custom Integration: Contact via semanticintent.dev for deployment inquiries
• Research: Read the published Semantic Intent paper

About the Author ​

Michael Shatny is a software developer specializing in modernizing legacy systems through agentic UX, AI-powered workflows, and semantic intent patterns. Based in Ontario, Canada, Michael's work bridges practical software development with academic research in AI-assisted development.

For custom MCP integrations or consulting: Contact via semanticintent.dev

Research & Publications ​

• ORCID: 0009-0006-2011-3258
• Research Site: semanticintent.dev
• Published Papers: Semantic Intent as SSOT (DOI: 10.5281/zenodo.17114972)

ChirpIQX serves as both a practical fantasy hockey tool and a demonstration of the Semantic Intent pattern—an architectural approach where natural language specifications generate executable implementations. The research behind this pattern achieved 78% improvement in behavioral consistency in real-world applications.

Part of Cormorant Foraging ​

ChirpIQX is part of the Cormorant Foraging framework - a three-dimensional approach to intelligence systems that emerged organically from building production tools.

ChirpIQX represents the Sound dimension of Cormorant Foraging:

Learn more: cormorantforaging.dev - Intelligence Systems, Naturally Organized

Related Projects ​

• PerchIQX - Database schema intelligence MCP
• WakeIQX - AI context temporal intelligence MCP

Connect ​

• GitHub: @semanticintent
• Portfolio: semanticintent.dev