TTRPG Assistant MCP Server

A comprehensive Model Context Protocol (MCP) server designed to assist with Tabletop Role-Playing Games (TTRPGs). This project provides a complete assistant ecosystem for Dungeon Masters and Game Runners, featuring AI-powered content search, campaign management, and real-time collaboration tools.

🎯 Project Overview

The TTRPG Assistant is a modern, production-ready application that combines:

• MCP Server: FastMCP-based protocol server for AI assistant integration
• Web Application: Responsive SvelteKit frontend for browser use
• Desktop Application: Cross-platform Tauri + Rust desktop app with native features
• Real-time Collaboration: WebSocket-based multi-user gaming sessions

✨ Key Features

Core Functionality

• 📖 PDF Processing: Extracts and indexes content from TTRPG rulebooks and source materials
• 🔍 Hybrid Search: Combines semantic (vector) and keyword search for accurate, contextual results
• 🎲 Campaign Management: Complete campaign data storage and retrieval system
• ⚔️ Session Tracking: Initiative tracking, monster health, condition management
• 🎭 Personality System: Adapts AI responses to match different game system tones
• 👥 Character Generation: Create NPCs and characters with appropriate stats and backstories
• 🧠 Adaptive Learning: Improves PDF processing accuracy through machine learning

Technical Features

• 🌐 Multi-Platform: Web application + cross-platform desktop app (Windows, macOS, Linux)
• 🤖 AI Provider Integration: Support for Anthropic Claude, OpenAI GPT, Google Gemini, and Ollama
• 🔒 Enterprise Security: OAuth2, JWT tokens, AES-256-GCM encryption, sandboxed execution
• ⚡ Real-time Collaboration: WebSocket-based multi-user sessions with conflict resolution
• 📱 Responsive Design: Mobile-first UI that works on all devices
• 🔄 Offline Support: Service Worker-based offline capabilities

🏗️ Architecture

Technology Stack

Backend

• Language: Python 3.11+
• MCP Framework: FastMCP with stdio/WebSocket communication
• Web Framework: FastAPI for bridge services and HTTP endpoints
• Database: ChromaDB (vector database) + SQLite (structured data)
• Search: Hybrid vector embeddings + BM25 keyword search
• AI Integration: Multi-provider support with automatic failover

Frontend (Web)

• Framework: SvelteKit 2.6+ with SSR and static generation
• Language: TypeScript with strict type checking
• Styling: TailwindCSS with responsive design
• State Management: Svelte 5 runes and stores
• Real-time: WebSocket client with automatic reconnection

Desktop Application

• Framework: Tauri 2.1 (Rust) with SvelteKit frontend
• Size: 12-18MB (96% smaller than Electron)
• Communication: JSON-RPC 2.0 over stdio (no network required)
• Features: System tray, native dialogs, auto-updater, file associations
• Performance: <1ms IPC latency vs 5-10ms for WebSocket

DevOps & Quality

• Code Quality: Black, isort, flake8, mypy (Python) + ESLint, Prettier (TypeScript)
• Testing: Pytest, Vitest, Playwright for comprehensive coverage
• Build System: Unified build script with auto-detected package managers
• Deployment: Docker, systemd service, automated packaging

🚀 Quick Start

Unified Build System

The project includes a comprehensive build script that automatically detects and uses your preferred package managers:

# Clone and setup
git clone https://github.com/Raudbjorn/MDMAI.git
cd MDMAI

# Install all dependencies (auto-detects uv, poetry, pnpm, yarn, npm)
./build.sh setup

# Build all components
./build.sh build

# Start development servers
./build.sh dev-backend    # Python MCP server
./build.sh dev-webapp     # SvelteKit web app  
./build.sh dev-desktop    # Tauri desktop app

Manual Setup (Alternative)

If you prefer manual setup or want more control:

Python Backend

# Recommended: Use uv for fastest setup
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv && uv pip install -e ".[dev,test,docs]"

# Alternative: Use poetry
poetry install --with dev,test,docs

# Alternative: Use pip with venv
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev,test,docs]"

Web Frontend

cd frontend
npm install  # or yarn/pnpm
npm run dev

Desktop Application

cd desktop/frontend
npm install
npm run tauri:dev

💻 Development Commands

The unified build script provides comprehensive development commands:

Setup & Dependencies

./build.sh setup          # Install all dependencies

Building

./build.sh build          # Build all components
./build.sh backend         # Build Python backend only
./build.sh webapp          # Build web app only  
./build.sh desktop         # Build desktop app (dev)
./build.sh desktop-release # Build desktop app (release)

Development Servers

./build.sh dev-backend     # Start MCP server (stdio mode)
./build.sh dev-webapp      # Start web app (http://localhost:5173)
./build.sh dev-desktop     # Start desktop app with hot reload

Quality Assurance

./build.sh test           # Run all tests
./build.sh lint           # Lint all code
./build.sh format         # Format all code

Utilities

./build.sh clean          # Clean all build artifacts
./build.sh help           # Show detailed help

🧪 Testing

Running Tests

# All tests
./build.sh test

# Python tests only
source .venv/bin/activate  # or poetry shell
pytest -v

# Frontend tests
cd frontend && npm test

# Type checking
./build.sh lint

Test Coverage

• Python: Unit, integration, and performance tests with pytest
• Frontend: Component tests with Vitest, E2E tests with Playwright
• Desktop: Rust unit tests + TypeScript validation
• Target: 80% overall coverage, 95% for critical paths

📦 Project Structure

MDMAI/
├── src/                          # Python MCP server source
│   ├── main.py                   # MCP server entry point
│   ├── tools/                    # MCP tool implementations
│   ├── search/                   # Hybrid search engine
│   ├── campaign/                 # Campaign management
│   └── bridge/                   # WebSocket bridge server
├── frontend/                     # SvelteKit web application
│   ├── src/lib/                  # Shared components and utilities
│   ├── src/routes/               # SvelteKit routes
│   └── src/app.html              # HTML template
├── desktop/                      # Desktop application
│   ├── frontend/                 # SvelteKit frontend (desktop)
│   │   ├── src-tauri/            # Rust/Tauri backend
│   │   └── src/                  # TypeScript/Svelte frontend
│   └── backend/                  # Python MCP wrapper
├── tests/                        # Python tests
├── docs/                         # Documentation
├── deploy/                       # Deployment scripts and configs  
├── scripts/                      # Build and utility scripts
├── build.sh                     # Unified build script
├── Makefile                     # Traditional make targets
└── pyproject.toml               # Python project configuration

🌟 Current Status & Implementation Progress

✅ Completed (Phase 23: Desktop Application)

• Core Architecture: Multi-platform build system with Tauri + SvelteKit
• Desktop Framework: Full Tauri 2.1 integration with native features
• Communication Layer: JSON-RPC 2.0 over stdio for zero-latency IPC
• Process Management: Robust Python subprocess lifecycle management
• Data Management: Enterprise-grade SQLite + ChromaDB with AES-256-GCM encryption
• File Operations: Streaming file processing with integrity verification
• Native Features: System tray, drag-drop, native dialogs, auto-updater
• Error Handling: Comprehensive error-as-values patterns throughout
• Type Safety: Full TypeScript + Rust type safety with zero compilation errors
• Code Quality: Refactored codebase with 14% line reduction, eliminated dead code

🚧 In Progress

• Core MCP Server: FastMCP implementation with tool definitions
• PDF Processing: Advanced extraction pipeline with table preservation
• Search Engine: Hybrid vector + keyword search with ChromaDB
• Campaign Management: Backend data models and API endpoints

📋 Upcoming

• Web Frontend: Complete SvelteKit application with real-time features
• MCP Tools: 30+ specialized tools for TTRPG assistance
• AI Integration: Multi-provider support with Ollama local models
• Deployment: Production packaging and systemd service integration

🎮 MCP Tools

The server provides 30+ specialized MCP tools optimized for TTRPG gameplay:

Core Search & Content

• search_rules - Hybrid semantic + keyword search across rulebooks
• get_monster - Monster stat blocks with party scaling suggestions
• add_source - Add PDF rulebooks to the knowledge base
• list_sources - Manage indexed source materials

Campaign Management

• create_campaign - Initialize new campaigns with metadata
• manage_timeline - Track in-game time and events
• track_resources - Party inventory and resource management
• manage_quests - Quest objectives and progress tracking

Session Tools

• roll_dice - Advanced dice rolling with modifiers and advantage
• manage_initiative - Combat initiative with conditions and delays
• track_damage - HP tracking with resistances and temporary effects
• take_notes - AI-categorized session notes with entity linking

Generation Tools

• generate_character - Complete character creation with backstories
• generate_npc - NPCs with relationships and motivations
• generate_location - Detailed locations with maps and encounters
• generate_plot_hook - Context-aware story seeds and adventures

Real-time Collaboration

• broadcast_to_players - Selective information sharing
• sync_game_state - Automatic state synchronization
• request_player_action - Interactive prompts and decision points

🔧 Configuration

Environment Setup

Copy .env.example to .env and configure:

# MCP Server Configuration
MCP_STDIO_MODE=true                    # Use stdio for MCP (recommended)
MCP_LOG_LEVEL=INFO                     # Logging level

# AI Provider Settings (choose one or more)
ANTHROPIC_API_KEY=your_key_here        # Claude integration
OPENAI_API_KEY=your_key_here           # OpenAI integration  
GOOGLE_API_KEY=your_key_here           # Gemini integration

# Database Configuration
DATABASE_PATH=./data/ttrpg.db          # SQLite database location
VECTOR_DB_PATH=./data/chroma           # ChromaDB vector storage

# Security Settings
SECRET_KEY=your_secret_key             # JWT signing key
ENCRYPTION_KEY=your_encryption_key     # Data encryption key

Package Manager Detection

The build system automatically detects and uses available package managers:

• Python: uv (fastest) → poetry → pip
• Node.js: pnpm → yarn → npm
• Rust: cargo (required for desktop builds)

🚀 Deployment

Docker Deployment

# Build Docker image
./build.sh clean && docker build -t ttrpg-assistant .

# Run with Docker Compose
docker-compose up -d

System Service (Linux)

# Install as systemd service
make deploy-install

# Configure service
make deploy-configure

# Start service
systemctl start ttrpg-assistant

Desktop Application Distribution

# Build release packages
./build.sh desktop-release

# Packages created in: desktop/frontend/src-tauri/target/release/bundle/
# - Windows: .msi installer
# - macOS: .dmg disk image  
# - Linux: .AppImage + .deb package

🤝 Contributing

Development Setup

1. Fork and clone the repository
2. Install dependencies: ./build.sh setup
3. Run tests: ./build.sh test
4. Start development: ./build.sh dev-desktop or ./build.sh dev-webapp

Code Quality

• Python: Follow PEP 8, use type hints, maintain 90%+ test coverage
• TypeScript: Strict mode enabled, use error-as-values patterns
• Rust: Follow Rust best practices, use cargo clippy
• Commits: Use conventional commits with clear descriptions

Pull Request Process

1. Create feature branch: git checkout -b feature/your-feature
2. Run quality checks: ./build.sh lint && ./build.sh test
3. Update documentation if needed
4. Submit PR with clear description and test results

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• FastMCP: Modern MCP framework for Python
• SvelteKit: Outstanding frontend framework
• Tauri: Revolutionary desktop application framework
• ChromaDB: Excellent vector database for embeddings
• Claude: AI assistance in development and documentation

📞 Support & Community

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Documentation: Project Wiki

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Happy Gaming! 🎲

Built with ❤️ for the TTRPG community