LoL Data MCP Server

Provides real-time, structured access to League of Legends game data, including champions, items, abilities, game mechanics, and patch information.

GitHub

🚧 PROJECT UNDER MAJOR RESTRUCTURE 🚧

LoL Data MCP Server is currently undergoing comprehensive restructuring and enhancement. This project will cover significantly more functionality than originally planned.

🔄 Current Status: Major Expansion in Progress

This project is being actively restructured to become a comprehensive League of Legends data ecosystem that will include:

🎯 Planned Coverage Areas (Under Development)

Phase 1: Core Data Infrastructure ⚡

  • Champion Data System: Complete champion statistics, abilities, and patch history
  • Item Data System: Item statistics, build paths, and patch tracking
  • Runes & Masteries: Complete rune system integration
  • Game Mechanics: Damage calculations, scaling formulas, and interactions

Phase 2: Advanced Analytics 📊

  • Meta Analysis: Patch-by-patch meta evolution tracking
  • Build Optimization: AI-powered optimal builds for different scenarios
  • Champion Synergies: Advanced team composition analysis
  • Performance Metrics: Win rates, pick/ban statistics, and trend analysis

Phase 3: AI Integration 🤖

  • Training Data Generation: Structured datasets for machine learning
  • Game State Recognition: Real-time game state parsing and analysis
  • Decision Support: AI-powered recommendations for in-game decisions
  • Simulation Environment: Complete LoL simulation for AI training

Phase 4: Real-Time Services ⚡

  • Live Match Data: Real-time match tracking and analysis
  • Player Analytics: Individual player performance tracking
  • Meta Predictions: AI-powered meta shift predictions
  • Community Integration: Discord bots, web APIs, and mobile apps

Phase 5: Advanced Features 🚀

  • Video Analysis: Automatic highlight detection and analysis
  • Voice Integration: Voice-activated champion information and builds
  • AR/VR Support: Immersive data visualization for coaching
  • Esports Analytics: Professional match analysis and statistics

🛠️ Technical Scope Expansion

Data Sources Integration

  • League of Legends Wiki: Primary source for comprehensive game data
  • Riot Games API: Official live data and statistics
  • Community Platforms: Reddit, Discord, and forums for meta insights
  • Esports Platforms: Professional match data and analytics
  • Streaming Platforms: Popular streamer builds and strategies

Technology Stack Enhancement

  • Backend: FastAPI, WebSocket, async/await patterns
  • Data Processing: BeautifulSoup, Selenium, pandas, numpy
  • AI/ML: TensorFlow, PyTorch, scikit-learn for analytics
  • Caching: Redis for high-performance data caching
  • Database: PostgreSQL for structured data, MongoDB for flexible schemas
  • API Integration: RESTful APIs, GraphQL, WebSocket real-time updates

Integration Capabilities

  • IDE Integration: Cursor, VS Code, JetBrains via MCP protocol
  • Discord Bots: Real-time champion information and builds
  • Web Applications: React/Vue frontends for data visualization
  • Mobile Apps: React Native for on-the-go access
  • CLI Tools: Command-line utilities for developers
  • Game Overlays: In-game information overlays

🎯 Project Timeline

Current Phase: Core Infrastructure Development
Expected Completion: Rolling releases with major milestones every 2-4 weeks
Full Feature Set: Estimated 6-12 months for complete ecosystem

🔗 Related Projects

This MCP server will serve as the data backbone for:

  • LoL Simulation Environment: AI training environments
  • Taric AI Agent: Specialized support champion AI
  • Community Tools: Discord bots, web apps, and mobile applications
  • Research Projects: Academic and professional esports analytics

📋 Development Status

✅ Currently Implemented:

  • Basic MCP server infrastructure
  • Champion statistics scraping (with level-specific data)
  • Champion abilities extraction
  • Item patch history tracking
  • Real-time wiki data integration

🔄 Under Active Development:

  • Advanced item data system
  • Comprehensive patch tracking
  • Enhanced data accuracy and validation
  • Performance optimization and caching

📋 Planned Features:

  • Complete runes and masteries system
  • Build recommendation engine
  • Meta analysis and tracking
  • Real-time match integration
  • AI-powered insights and recommendations

⚡ This project represents a significant expansion beyond the original scope and will become a comprehensive League of Legends data ecosystem serving multiple AI, analytics, and community applications.

🚀 Stay tuned for regular updates as we build the most comprehensive LoL data service available.

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