Major improvements to the Graphiti MCP server configuration:
Configuration System:
- Add YAML-based configuration with config.yaml
- Support environment variable expansion in YAML (${VAR_NAME} syntax)
- Implement hierarchical configuration: CLI > env > YAML > defaults
- Add pydantic-settings for robust configuration management
Multi-Provider Support:
- Add factory pattern for LLM clients (OpenAI, Anthropic, Gemini, Groq, Azure)
- Add factory pattern for embedder clients (OpenAI, Azure, Gemini, Voyage)
- Add factory pattern for database drivers (Neo4j, FalkorDB)
- Graceful handling of unavailable providers
Code Improvements:
- Refactor main server to use unified configuration system
- Remove obsolete graphiti_service.py with hardcoded Neo4j configs
- Clean up deprecated type hints and fix all lint issues
- Add comprehensive test suite for configuration loading
Documentation:
- Update README with concise configuration instructions
- Add VS Code integration example
- Remove overly verbose separate documentation
Docker Updates:
- Update Dockerfile to include config.yaml
- Enhance docker-compose.yml with provider environment variables
- Support configuration volume mounting
Breaking Changes:
- None - full backward compatibility maintained
- All existing CLI arguments and environment variables still work
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Update dependencies in pyproject.toml and uv.lock: bump graphiti-core to 0.14.0, add backoff and posthog packages, and update related version specifications.
* Update Dockerfile to change ownership command for app directory to verbose mode
* add azure open ai dependency
* update readme
* Create support for azure open ai endpoints
* fix: formatting
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Co-authored-by: paulpaliychuk <pavlo.paliychuk.ca@gmail.com>
