dota2-mcp-server

daedalus-s/dota2-mcp-server

3.2

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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).

šŸŽ® 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.

Dota 2 MCP Server TypeScript Node.js OpenDota MIT License

šŸš€ Key Features

šŸ” 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.

āš”ļø 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

šŸ“Š 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 āš™ļø
  • Claude Desktop application šŸ¤–
  • Stable internet connection for API access 🌐

Installation Process

  1. Repository Setup:

    git clone https://github.com/daedalus-s/dota2-mcp-server.git
    cd dota2-mcp-server
    npm install
    npm run build
    
  2. Claude Desktop Configuration:

    Configure the MCP server in your Claude Desktop settings:

    Windows: %APPDATA%\Claude\claude_desktop_config.json

    macOS: ~/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": {}
        }
      }
    }
    
  3. Activation: Restart Claude Desktop to enable the integration šŸŽÆ

šŸ’¬ Usage Examples

Execute sophisticated analysis through natural language queries in Claude Desktop:

šŸ•µļø 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

šŸŽÆ 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

šŸ›”ļø 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

šŸ”§ Comprehensive Tool Suite

ToolTechnical CapabilityImplementation Focus
search_playerPlayer profile resolutionSteam API integration with data normalization
get_player_heroesStatistical hero analysisWin rate calculation with confidence intervals
analyze_performance_patterns🧠 ML pattern detectionBehavioral modeling with trend analysis
get_meta_analysisšŸ”® Meta intelligence engineReal-time statistical aggregation across brackets
suggest_draft_picksšŸ¤– AI recommendation systemMulti-factor optimization with reasoning engine
get_hero_matchupsāš”ļø Matchup correlation matrixStatistical significance testing on large datasets
get_item_buildsšŸ” Build pattern classifierMachine learning on itemization sequences
get_hero_ability_buildsšŸ“Š Skill progression analyzerTemporal analysis of ability selection patterns
get_heroes / get_itemsšŸ“š Reference databasesNormalized 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

šŸ—ļø 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

šŸ“Š 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

šŸ”“ Open Architecture: Public API access with no authentication requirements, ensuring reliability and accessibility.

āš™ļø Advanced Configuration

šŸŽÆ Analysis Depth Configuration

Configurable analysis granularity for performance optimization:

  • basic - Lightweight analysis for rapid data retrieval
  • detailed - Standard comprehensive analysis with pattern detection (default)
  • comprehensive - Full statistical modeling including contextual variables

šŸ† Meta Analysis Parameters

Targeted analysis with configurable scope:

  • Rank Brackets: Granular targeting from herald through immortal to pro
  • Analysis Focus: Specialized views including overview, trending, winrates, pickrates

šŸ’» 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/
ā”œā”€ā”€ src/
│   └── index.ts          # Main server implementation
ā”œā”€ā”€ dist/                 # Compiled output
ā”œā”€ā”€ package.json
ā”œā”€ā”€ 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 install to 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

šŸ¤ 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.

šŸš€ Development Workflow

  1. Fork the repository and create a development branch
  2. Implement features following TypeScript best practices
  3. Test thoroughly with comprehensive error handling
  4. Submit pull requests with detailed technical documentation

šŸŽÆ Priority Development Areas

  • šŸ”¬ Advanced Analytics - Enhanced statistical models and pattern recognition algorithms
  • ⚔ Performance Optimization - Improved data processing efficiency and caching strategies
  • šŸŽØ Data Visualization - Enhanced output formatting and structured data presentation
  • šŸ›”ļø Error Handling - Robust exception management and graceful degradation

šŸ“‹ 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.

šŸ“ˆ Performance & Results

⚔ Efficient Setup → 🧠 Advanced Analytics → šŸŽÆ Strategic Advantage → šŸ“Š 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.