LoreKeeper MCP
Provides fast, cached access to comprehensive Dungeons & Dragons 5th Edition data including spells, monsters, classes, races, equipment, and rules through Open5e and D\&D 5e APIs.
README
LoreKeeper MCP
A Model Context Protocol (MCP) server for D&D 5e information lookup with AI assistants. LoreKeeper provides fast, cached access to comprehensive Dungeons & Dragons 5th Edition data through the Open5e and D&D 5e APIs.
Features
- Comprehensive D&D 5e Data: Access spells, monsters, classes, races, equipment, and rules
- Intelligent Caching: SQLite-based caching with TTL support for fast responses
- Dual API Support: Primary Open5e API with D&D 5e API fallback for complete coverage
- Type-Safe Configuration: Pydantic-based configuration management
- Modern Python Stack: Built with Python 3.13+, async/await patterns, and FastMCP
- Production Ready: Comprehensive test suite, code quality tools, and pre-commit hooks
Quick Start
Prerequisites
- Python 3.13 or higher
- uv for package management
Installation
# Clone the repository
git clone https://github.com/your-org/lorekeeper-mcp.git
cd lorekeeper-mcp
# Install dependencies
uv sync
# Set up pre-commit hooks
uv run pre-commit install
# Copy environment configuration
cp .env.example .env
Running the Server
# Start the MCP server
uv run python -m lorekeeper_mcp
# Or with custom configuration
LOG_LEVEL=DEBUG uv run python -m lorekeeper_mcp
Available Tools
LoreKeeper provides 5 MCP tools for querying D&D 5e game data:
lookup_spell- Search spells by name, level, school, class, and propertieslookup_creature- Find monsters by name, CR, type, and sizelookup_character_option- Get classes, races, backgrounds, and featslookup_equipment- Search weapons, armor, and magic itemslookup_rule- Look up game rules, conditions, and reference information
See docs/tools.md for detailed usage and examples.
Configuration
LoreKeeper uses environment variables for configuration. Create a .env file:
# Database settings
DB_PATH=./data/cache.db
CACHE_TTL_DAYS=7
ERROR_CACHE_TTL_SECONDS=300
# Logging
LOG_LEVEL=INFO
DEBUG=false
# API endpoints
OPEN5E_BASE_URL=https://api.open5e.com
DND5E_BASE_URL=https://www.dnd5eapi.co/api
Development
Project Structure
lorekeeper-mcp/
├── src/lorekeeper_mcp/ # Main package
│ ├── cache/ # Database caching layer
│ │ └── db.py # SQLite cache implementation
│ ├── api_clients/ # External API clients
│ ├── tools/ # MCP tool implementations
│ ├── config.py # Configuration management
│ ├── server.py # FastMCP server setup
│ └── __main__.py # Package entry point
├── tests/ # Test suite
│ ├── test_cache/ # Cache layer tests
│ ├── test_config.py # Configuration tests
│ ├── test_server.py # Server tests
│ └── conftest.py # Pytest fixtures
├── docs/ # Documentation
├── pyproject.toml # Project configuration
├── .pre-commit-config.yaml # Code quality hooks
└── README.md # This file
Running Tests
# Run all tests
uv run pytest
# Run with coverage
uv run pytest --cov=lorekeeper_mcp
# Run specific test file
uv run pytest tests/test_cache/test_db.py
Code Quality
The project uses several code quality tools:
- Black: Code formatting (100 character line length)
- Ruff: Linting and import sorting
- MyPy: Static type checking
- Pre-commit: Git hooks for automated checks
# Run all quality checks
uv run ruff check src/
uv run ruff format src/
uv run mypy src/
# Run pre-commit hooks manually
uv run pre-commit run --all-files
Database Cache
LoreKeeper uses SQLite with WAL mode for efficient caching:
- Schema:
api_cachetable with indexes on expiration and content type - TTL Support: Configurable cache duration (default: 7 days)
- Content Types: Spells, monsters, equipment, etc. for organized storage
- Source Tracking: Records which API provided cached data
- Automatic Cleanup: Expired entries are automatically pruned
API Strategy
The project follows a strategic API assignment:
- Prefer Open5e API over D&D 5e API
- Prefer Open5e v2 over v1 when available
- Use D&D 5e API only for content not available in Open5e (primarily rules)
- Each category maps to ONE API to avoid complexity
See docs/tools.md for detailed API mapping and implementation notes.
📋 OpenSpec Integration
This project uses OpenSpec as its core development tooling for specification management and change tracking. OpenSpec provides:
- Structured Specifications: All features, APIs, and architectural changes are documented in detailed specs
- Change Management: Comprehensive change tracking with proposals, designs, and implementation tasks
- Living Documentation: Specifications evolve alongside the codebase, ensuring documentation stays current
- Development Workflow: Integration between specs, implementation, and testing
The openspec/ directory contains:
- Current specifications for all project components
- Historical change records with full context
- Design documents and implementation plans
- Task breakdowns for development work
When contributing, please review relevant specifications in openspec/ and follow the established change management process.
Contributing
We welcome contributions! Please see our Contributing Guidelines for details.
Development Workflow
- Fork the repository
- Create a feature branch:
git checkout -b feature-name - Make your changes and ensure tests pass
- Run code quality checks:
uv run pre-commit run --all-files - Commit your changes
- Push to your fork and create a pull request
Testing
All contributions must include tests:
- New features should have corresponding unit tests
- Maintain test coverage above 90%
- Use pytest fixtures for consistent test setup
- Follow async/await patterns for async code
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Open5e for comprehensive D&D 5e API
- D&D 5e API for official rules reference
- FastMCP for the MCP server framework
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