### Changes:
- **README Enhancements**:
- Added detection capabilities for browser, Node.js, and serverless environments with optimized configuration.
- Expanded details on adaptive storage strategies based on the detected environment.
- Included new information on the Model Control Protocol (MCP), including components like `BrainyMCPAdapter` and `MCPAugmentationToolset`.
- **Terminology Updates**:
- Replaced "restore sparse data" terminology with "import sparse data" in code samples and CLI commands for clarity (e.g., `importSparseData` method and `brainy import-sparse` command).
- Updated related examples for consistency with new term usage.
- **Cross-Environment Compatibility**:
- Highlighted dynamic imports and storage migration for seamless operation in different environments.
- Described augmented browser support and streamlined development practices.
- **MCP Documentation**:
- Detailed REST and WebSocket APIs for interacting with Brainy through MCP.
- Outlined configuration options like rate limiting and authentication for MCP services.
- **cloud-wrapper/README.md**:
- Added configuration details for MCP services, including specific usage of ports, API keys, and CORS settings.
- Expanded API scopes by introducing MCP-related endpoints for real-time and batch interactions.
### Purpose:
Enhanced documentation to reflect recent updates to environment detection, storage optimization, and MCP services. The changes improve clarity, usability, and developer understanding across environments and interaction protocols.
Standardized documentation by adding a centered Brainy logo across README files, examples, and guides. Adjusted text formatting for consistency, improved alignment, and readability of feature descriptions and examples.
Introduced a cloud deployment wrapper for Brainy supporting AWS Lambda, Google Cloud Run, and Cloudflare Workers. Added configuration options, deployment scripts, and API reference. Updated `README.md` with contribution guidelines and cloud deployment documentation.
