Semantic Chirp IntelligenceFantasy Hockey MCP

Quick Start ​

# Clone the repository
git clone https://github.com/semanticintent/semantic-chirp-intelligence-mcp.git

# Install dependencies
cd semantic-chirp-intelligence-mcp
npm install

# Configure your Yahoo Fantasy credentials
cp .env.example .env
# Edit .env with your credentials

# Build the MCP server
npm run build

# Start using with Claude Desktop
# Add to your Claude Desktop configuration

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.

Note: This site serves as an educational demonstration and research showcase of the Semantic Intent pattern applied to fantasy hockey analytics. The MCP server code is currently in development and not yet publicly available. Check out the Playground to explore interactive examples of how the system works.

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

📡 Yahoo Fantasy Integration ​

Direct 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

🧠 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

Community & Support ​

• Repository: github.com/semanticintent/semantic-chirp-intelligence-mcp
• Issues: Report bugs and request features
• Discussions: Strategy, tips, and league talk

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.

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.

Connect ​

• GitHub: @semanticintent
• Portfolio: semanticintent.dev