Semantic Chirp IntelligenceFantasy Hockey MCP

Quick Start ​

# Install from npm
npm install @semanticintent/semantic-chirp-intelligence-mcp

# Or clone and build from source
git clone https://github.com/semanticintent/semantic-chirp-intelligence-mcp.git
cd semantic-chirp-intelligence-mcp
npm install && npm run build

What is Semantic Chirp Intelligence? ​

Semantic Chirp Intelligence (ChirpIQX) is an open-source 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.

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 (21 total) ​

• League setup — paste your roster, opponent and standings from anywhere
• Team management — roster, standings, matchup comparison, lineup optimization
• Player analysis — stats, search across 1,200+ NHL players, breakout detection
• Streaming & schedule — schedule-aware candidates, games-in-hand, weekend classifier
• Draft — pick recommendations and 32-club schedule value
• CHIRP intelligence — ICE engine, opponent scouting, trade analysis, governance dashboard

📡 Data sources — all public, all free ​

No API key. No OAuth. No account on any fantasy platform.

🧠 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.

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