daedalus-s/dota2-mcp-server
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The Dota 2 MCP Server is a specialized server designed to facilitate communication and data exchange between Dota 2 game clients and servers using the Model Context Protocol (MCP).
🎮 Dota 2 MCP Server
A comprehensive Model Context Protocol (MCP) server that integrates Claude Desktop with advanced Dota 2 analytics. Provides intelligent player analysis, strategic draft assistance, and real-time meta insights using the OpenDota API.
🚀 Key Features
🔍 Advanced Player Analytics
- Comprehensive player search and profile analysis by Steam name
- Statistical performance tracking with automated pattern detection
- Behavioral analysis algorithms that identify gameplay tendencies
- Win rate correlation analysis across different game contexts
- Make sure you ask it really complex questions that would give you a real edge over your opponent as well as test the capabilities of the application.
⚔️ Strategic Intelligence System
- Complete hero and item databases with normalized naming conventions
- Matchup analysis engine with statistical significance testing
- Build pattern recognition using machine learning on match data
- Skill progression modeling from large-scale dataset analysis
🧠 AI-Enhanced Draft Tools
- Context-aware draft recommendations based on team composition analysis
- Multi-bracket meta analysis with real-time statistical updates
- Performance pattern algorithms for opponent weakness identification
- Evidence-based counter-pick suggestions with confidence scoring
📊 Real-Time Meta Intelligence
- Patch-specific trend analysis across all skill brackets
- Professional scene analytics including tournament pick/ban data
- Role-based performance metrics with statistical breakdowns
- Dynamic meta shift detection and trend forecasting
⚡ Installation & Setup
Integrate advanced Dota 2 analytics with Claude Desktop in minutes.
System Requirements
- Node.js 18+ for optimal performance ⚙️
- Claude Desktop application 🤖
- Stable internet connection for API access 🌐
Installation Process
-
Repository Setup:
git clone https://github.com/daedalus-s/dota2-mcp-server.git cd dota2-mcp-server npm install npm run build -
Claude Desktop Configuration:
Configure the MCP server in your Claude Desktop settings:
Windows:
%APPDATA%\Claude\claude_desktop_config.jsonmacOS:
~/Library/Application Support/Claude/claude_desktop_config.json{ "mcpServers": { "dota2-mcp-server": { "command": "node", "args": ["/absolute/path/to/dota2-mcp-server/dist/index.js"], "env": {} } } } -
Activation: Restart Claude Desktop to enable the integration 🎯
💬 Usage Examples
Execute sophisticated analysis through natural language queries in Claude Desktop:
🕵️ Player Intelligence Analysis
Search for Dota 2 player named "miracle"
→ Comprehensive profile with performance metrics and behavioral patterns
Get most played heroes for "miracle"
→ Hero pool analysis with statistical confidence intervals
Analyze performance patterns for "dendi"
→ Advanced pattern detection with actionable insights
🎯 Strategic Analysis Operations
Get hero matchups for Juggernaut
→ Complete matchup matrix with win rate correlations
Get meta analysis for divine rank bracket
→ Current meta statistics with trend analysis
Suggest draft picks with ally heroes Pudge and Invoker and enemy heroes Slark and Crystal Maiden
→ AI-generated recommendations with strategic reasoning
🛡️ Build Intelligence Extraction
Get item builds for account name Pr1m3vAL playing Axe
→ Build pattern analysis with playstyle classification
Get hero ability builds for account name Ana playing Io
→ Skill progression analysis with timing optimization
🔧 Comprehensive Tool Suite
| Tool | Technical Capability | Implementation Focus |
|---|---|---|
search_player | Player profile resolution | Steam API integration with data normalization |
get_player_heroes | Statistical hero analysis | Win rate calculation with confidence intervals |
analyze_performance_patterns | 🧠 ML pattern detection | Behavioral modeling with trend analysis |
get_meta_analysis | 🔮 Meta intelligence engine | Real-time statistical aggregation across brackets |
suggest_draft_picks | 🤖 AI recommendation system | Multi-factor optimization with reasoning engine |
get_hero_matchups | ⚔️ Matchup correlation matrix | Statistical significance testing on large datasets |
get_item_builds | 🔍 Build pattern classifier | Machine learning on itemization sequences |
get_hero_ability_builds | 📊 Skill progression analyzer | Temporal analysis of ability selection patterns |
get_heroes / get_items | 📚 Reference databases | Normalized data structures with ID mapping |
🌐 Technical Architecture & Data Infrastructure
⚡ Data Pipeline Architecture
- OpenDota API Integration - Enterprise-grade REST API with comprehensive match databases
- Real-Time Statistical Processing - Live aggregation across all skill brackets with temporal analysis
- Large-Scale Pattern Recognition - Machine learning algorithms trained on millions of match records
- Intelligent Caching Layer - Optimized data retrieval with automatic cache invalidation
🏗️ Technical Implementation
- TypeScript - Strongly typed codebase with comprehensive error handling
- Model Context Protocol - Native Claude Desktop integration with seamless tool execution
- Node.js Runtime - Cross-platform compatibility with asynchronous processing
- Modular Architecture - Extensible design with clear separation of concerns
📊 Data Processing Features
- Statistical Significance Testing - Confidence intervals and sample size validation
- Temporal Analysis - Time-series pattern detection for meta trends
- Multi-Dimensional Correlation - Complex relationship modeling between game variables
- Real-Time Data Synchronization - Live updates reflecting current game state
🔓 Open Architecture: Public API access with no authentication requirements, ensuring reliability and accessibility.
⚙️ Advanced Configuration
🎯 Analysis Depth Configuration
Configurable analysis granularity for performance optimization:
basic- Lightweight analysis for rapid data retrievaldetailed- Standard comprehensive analysis with pattern detection (default)comprehensive- Full statistical modeling including contextual variables
🏆 Meta Analysis Parameters
Targeted analysis with configurable scope:
- Rank Brackets: Granular targeting from
heraldthroughimmortaltopro - Analysis Focus: Specialized views including
overview,trending,winrates,pickrates
💻 Advanced Query Examples
# Deep statistical analysis with comprehensive pattern detection
Analyze performance patterns for account : Pr1m3vAL with analysis depth comprehensive
# Real-time meta intelligence for high-skill brackets
Get meta analysis for rank bracket immortal with focus trending
# Targeted win rate analysis for strategic planning
Get meta analysis for rank bracket divine with focus winrates
Development
Project Structure
dota2-mcp-server/
├── src/
│ └── index.ts # Main server implementation
├── dist/ # Compiled output
├── package.json
├── tsconfig.json
└── README.md
Building
npm run build
Development Mode
npm run dev
Troubleshooting
Server Not Recognized
- Verify the absolute path in the Claude Desktop configuration
- Ensure the project has been built successfully (
npm run build) - Restart Claude Desktop completely
Module Errors
- Run
npm installto reinstall dependencies - Check Node.js version (requires 18+)
API Failures
- Check internet connection
- OpenDota API may be temporarily unavailable
- Some player profiles may be private
Data Issues
- Hero/item names not showing: The server caches data on first use
- Restart if seeing incomplete information
🤝 Contributing to the Project
Contributions from developers and Dota 2 enthusiasts is welcomed. This project benefits from community involvement in advancing analytical capabilities and improving technical implementation.
🚀 Development Workflow
- Fork the repository and create a development branch
- Implement features following TypeScript best practices
- Test thoroughly with comprehensive error handling
- Submit pull requests with detailed technical documentation
🎯 Priority Development Areas
- 🔬 Advanced Analytics - Enhanced statistical models and pattern recognition algorithms
- ⚡ Performance Optimization - Improved data processing efficiency and caching strategies
- 🎨 Data Visualization - Enhanced output formatting and structured data presentation
- 🛡️ Error Handling - Robust exception management and graceful degradation
📋 Technical Standards
- Follow established TypeScript conventions and type safety practices
- Implement comprehensive error handling for API interactions
- Include unit tests for new analytical functions
- Document complex algorithms and data processing logic
Contributions help advance the state of Dota 2 analytics and benefit the broader gaming community.
📈 Performance & Results
⚡ Efficient Setup → 🧠 Advanced Analytics → 🎯 Strategic Advantage → 📊 Improved Performance
Transform draft decision-making from intuition-based to data-driven analysis with comprehensive statistical backing.
Developed by Dota 2 players with love for the community.
License
MIT License - see LICENSE file for details.
Acknowledgments
- OpenDota for comprehensive match data API access
- Anthropic for Model Context Protocol framework development
- Valve Corporation for Dota 2 and public match data availability
Disclaimer: This tool provides statistical analysis based on publicly available match data. Individual results may vary based on implementation and usage patterns. Dota 2 is a trademark of Valve Corporation.