Memory Bank MCP

# Memory Bank Server System Patterns ## Architecture Patterns ### MCP Server The Memory Bank Server is implemented as an MCP (Model Context Protocol) server, which follows a specific communication pattern to interact with MCP clients. This pattern facilitates integration with AI tools and other MCP-compatible systems. ### File Management The system uses an asynchronous file management pattern, utilizing the fs-extra library for file and directory manipulation. ## Code Patterns ### TypeScript with Strict Types The code is written in TypeScript with strict type configuration, ensuring greater safety and facilitating maintenance. ### Error Handling The system uses a consistent error handling pattern, with MCP-specific error classes (McpError) and standardized error codes. ### Asynchronous Functions I/O operations are implemented as asynchronous functions using async/await, following best practices for non-blocking operations. ### Testing Patterns The project uses Bun's built-in test runner with a describe/test pattern similar to Jest: - `describe` blocks for grouping related tests - `test` blocks for individual test cases - `beforeEach`/`afterEach` hooks for setup and teardown - Asynchronous tests using async/await - Event testing using promises - Temporary file creation and cleanup for file-based tests ## Documentation Patterns ### Markdown Files The Memory Bank uses markdown (.md) files for documentation, following a consistent structure: - Main title (H1) - Sections (H2) - Subsections (H3) - Bulleted or numbered lists - Tables when appropriate ### Memory Bank Structure The Memory Bank follows a standardized structure with the following core files: - `product-context.md` - Project overview - `active-context.md` - Current project context - `progress.md` - Project progress - `decision-log.md` - Decision log - `system-patterns.md` - System patterns (this file) ## MCP Tool Patterns ### Tool Structure Each MCP tool follows a consistent pattern: - Unique and descriptive name - Clear functionality description - Well-defined JSON input schema - Proper error handling - Standardized response ### Input Validation All tools implement consistent input validation, checking: - Presence of required parameters - Correct data types - Values within acceptable limits