memory-bank-mcp
MCP ServerFreeA Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.
Capabilities14 decomposed
remote memory bank file reading with project isolation
Medium confidenceImplements read-only access to memory bank files through MCP protocol with path traversal prevention and project-scoped file retrieval. Uses clean architecture layers (Presentation → Domain → Data Access → Infrastructure) to translate MCP read requests into filesystem operations, validating project and file paths against a root directory to prevent unauthorized access. Returns file contents as structured responses with error handling for missing or inaccessible files.
Implements project-scoped file access through clean architecture layers with explicit path validation at the Presentation layer, preventing directory traversal attacks while maintaining type-safe operations across domain, data access, and infrastructure layers — a pattern not typically found in simpler file-serving implementations
Provides centralized, project-isolated memory access via MCP protocol whereas direct filesystem access or simple HTTP servers lack project boundaries and MCP integration
memory bank file creation with validation and path safety
Medium confidenceEnables creation of new memory bank files through MCP protocol with comprehensive path validation, project isolation, and file structure enforcement. The Presentation layer validates input parameters, the Domain layer enforces business rules (e.g., valid project and file paths), and the Infrastructure layer performs actual filesystem write operations. Prevents path traversal attacks by validating that resolved paths remain within the target project directory.
Validates file paths at multiple architectural layers (Presentation validates input format, Domain enforces business rules, Infrastructure performs resolved-path verification) rather than single-point validation, ensuring defense-in-depth against path traversal and invalid project references
Safer than direct filesystem APIs or simple file servers because validation occurs across clean architecture layers with explicit project isolation, whereas alternatives typically validate only at entry point
data access layer abstraction with filesystem implementation
Medium confidenceDefines data access interfaces that abstract filesystem operations, allowing domain layer to request file operations without knowing implementation details. The Data Access layer specifies interfaces for read, write, update, and list operations, and the Infrastructure layer provides concrete filesystem implementations using Node.js fs module. This abstraction enables testing domain logic with mock implementations and potentially swapping filesystem for other storage backends (cloud storage, databases) without changing domain code.
Implements explicit data access interfaces rather than direct filesystem calls in domain logic, enabling mock implementations for testing and potential storage backend swapping without domain changes
More testable than direct filesystem calls because domain logic depends on interfaces rather than concrete implementations, enabling mock-based unit testing without filesystem I/O
infrastructure layer filesystem operations with error handling
Medium confidenceImplements concrete filesystem operations using Node.js fs module to fulfill data access layer interfaces, handling file reads, writes, updates, and directory listings with proper error handling and path resolution. Performs actual filesystem I/O, manages file permissions, and translates filesystem errors into domain-level error responses. Includes path resolution to normalize paths and prevent directory traversal, and handles edge cases like missing files, permission errors, and invalid paths.
Implements filesystem operations as concrete implementations of data access interfaces rather than scattered throughout application, enabling centralized error handling and potential future storage backend swapping
More maintainable than scattered filesystem calls because all I/O is centralized in Infrastructure layer, whereas ad-hoc filesystem calls throughout the codebase are harder to test and modify
environment-based configuration with memory_bank_root
Medium confidenceConfigures memory bank root directory through MEMORY_BANK_ROOT environment variable, enabling deployment flexibility without code changes. The server reads this variable at startup to determine where all project directories are located, allowing different deployments (development, staging, production) to use different filesystem locations. Supports Docker deployment where the environment variable can be set via container environment or volume mounts.
Uses environment variable for configuration rather than config files or hardcoded paths, enabling containerized deployments and infrastructure-as-code patterns without code changes
More flexible than hardcoded paths because environment variables enable different deployments to use different storage locations, whereas config files require per-environment copies
type-safe operation definitions with input validation
Medium confidenceDefines type-safe operation schemas for each MCP tool with explicit input parameters, output types, and validation rules. Each operation specifies required parameters (project_id, file_path, contents), their types (string, etc.), and validation constraints. The Presentation layer validates incoming requests against these schemas before passing to domain logic, ensuring type safety and preventing invalid inputs from reaching business logic. Supports MCP tool definition format with parameter descriptions and types.
Implements explicit type-safe operation definitions in MCP tool schemas rather than implicit parameter handling, enabling compile-time type checking and runtime validation against defined schemas
More robust than untyped parameter handling because schema definitions provide compile-time type checking and runtime validation, whereas ad-hoc parameter handling is error-prone
memory bank file updating with content replacement
Medium confidenceProvides in-place update capability for existing memory bank files through MCP protocol, replacing entire file contents while maintaining project isolation and path safety. Uses the same clean architecture pattern as file creation but targets existing files, with validation ensuring the file exists before update and the resolved path remains within project boundaries. Supports overwriting memory bank entries with new content from AI agents.
Distinguishes update from create operations at the Domain layer, enforcing existence checks before modification and using the same path validation infrastructure, providing semantic clarity that update is not idempotent with create
Clearer semantics than generic write operations because it explicitly validates file existence and signals intent, whereas simple overwrite APIs don't distinguish between creation and modification
project enumeration and discovery via mcp
Medium confidenceLists all available projects in the memory bank root directory through MCP protocol, enabling clients to discover project structure without filesystem access. Implements read-only enumeration at the Presentation layer that queries the Infrastructure layer's filesystem operations to return project directories, with implicit filtering to exclude non-directory entries and hidden files. Supports multi-project management by allowing clients to discover which projects are available before accessing their files.
Implements project discovery as a dedicated MCP tool rather than embedding it in file operations, allowing clients to discover available projects before attempting file access — a pattern that improves UX for multi-project systems
Provides explicit project discovery via MCP protocol whereas filesystem-based approaches require clients to understand directory structure or use separate APIs
project-scoped file enumeration with path safety
Medium confidenceLists all files within a specific project directory through MCP protocol, enabling clients to discover available memory bank files without direct filesystem access. Validates the project_id parameter to ensure it exists and resolves to a valid path within MEMORY_BANK_ROOT, then enumerates files in that project directory. Returns file names (not full paths) to maintain abstraction, with implicit filtering of directories and hidden files. Supports memory bank exploration by allowing clients to discover which files are available in a project.
Validates project existence before enumeration and returns relative file names rather than full paths, maintaining project isolation abstraction and preventing clients from constructing arbitrary paths
Safer than exposing full filesystem paths because it validates project scope and returns only relative names, whereas direct filesystem APIs expose full paths and require clients to understand directory structure
clean architecture request-response translation
Medium confidenceImplements the Presentation layer that translates incoming MCP protocol requests into domain operations and formats responses back to MCP format. Acts as an adapter between the MCP protocol's request/response structure and the internal domain layer's use cases, performing input validation, parameter extraction, and response formatting. Each MCP tool (memory_bank_read, memory_bank_write, etc.) maps to a corresponding use case through this translation layer, ensuring type safety and consistent error handling across all operations.
Implements explicit Presentation layer as MCP protocol adapter rather than embedding protocol handling in domain logic, enabling clean separation where domain layer remains protocol-agnostic and can be reused with different interfaces (REST, gRPC, etc.)
Cleaner than monolithic implementations because protocol concerns are isolated in Presentation layer, whereas single-layer implementations mix MCP protocol details with business logic
path traversal prevention with resolved path validation
Medium confidenceImplements security validation across the architecture to prevent directory traversal attacks by resolving file paths to absolute paths and verifying they remain within the target project directory. The Presentation layer validates input format, the Domain layer enforces business rules, and the Infrastructure layer performs final resolved-path verification before filesystem operations. Uses filesystem path resolution (e.g., Node.js path.resolve) to normalize paths containing '..' or symbolic links, then validates the resolved path is within the project root using string prefix matching or path comparison.
Implements multi-layer path validation (Presentation format validation, Domain business rules, Infrastructure resolved-path verification) rather than single-point validation, providing defense-in-depth against path traversal attacks
More robust than simple string prefix matching because it uses filesystem path resolution to normalize paths before validation, preventing attacks using '..' or symlinks that simple string checks might miss
project isolation with filesystem-based access control
Medium confidenceEnforces project boundaries by organizing memory banks into separate project directories under MEMORY_BANK_ROOT and validating all file operations against the target project directory. Each project is a subdirectory containing its own memory bank files, and all read/write operations validate that the resolved file path remains within the project directory. This isolation is enforced at the Infrastructure layer through filesystem operations and validated at the Presentation and Domain layers, preventing clients from accessing files in other projects.
Implements project isolation through filesystem directory structure rather than application-level access control lists, leveraging OS-level permissions and path validation for enforcement
Simpler than database-backed access control because it uses filesystem structure, but less flexible because isolation is tied to directory naming and filesystem permissions rather than configurable ACLs
mcp protocol server implementation with tool definitions
Medium confidenceImplements a complete MCP server that exposes five core tools (memory_bank_read, memory_bank_write, memory_bank_update, list_projects, list_project_files) through the Model Context Protocol, enabling MCP-compatible clients like Claude, Cursor, and Cline to interact with memory banks. The server defines tool schemas with input parameters and output types, handles MCP protocol messages, and routes requests to appropriate handlers. Provides type-safe operation definitions and proper error responses conforming to MCP specification.
Implements full MCP server with clean architecture separation rather than minimal MCP wrapper, enabling extensibility and maintainability for adding new tools or modifying existing ones without touching protocol handling
More maintainable than monolithic implementations because MCP protocol handling is separated from business logic, whereas simple wrappers mix protocol concerns with domain logic
domain layer use case orchestration
Medium confidenceImplements domain layer use cases that encapsulate business logic for each operation (read, write, update, list projects, list files) independent of MCP protocol or filesystem details. Each use case defines the business rules and constraints for its operation, receives validated inputs from the Presentation layer, and delegates to Data Access layer interfaces for actual operations. Use cases are protocol-agnostic and could be reused with different interfaces (REST, gRPC, CLI), enabling clean separation of concerns and testability.
Implements explicit use case classes for each operation rather than embedding logic in handlers, enabling protocol-agnostic business logic that can be tested independently and reused across different interfaces
More testable and reusable than handler-embedded logic because use cases are protocol-agnostic, whereas monolithic handlers mix protocol and business concerns
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓teams using Claude, Cursor, or Cline with shared memory bank infrastructure
- ✓developers building multi-project AI agent systems requiring isolated context
- ✓organizations needing centralized memory management across multiple AI tools
- ✓AI agents that need to persist new memory entries during conversations
- ✓teams automating memory bank initialization across multiple projects
- ✓developers building MCP-based workflows that generate project-specific documentation
- ✓developers building testable MCP servers with dependency injection
- ✓teams planning to support multiple storage backends
Known Limitations
- ⚠Read-only operation — no modification capability in this specific endpoint
- ⚠File size not specified — potential performance impact with very large memory bank files
- ⚠No built-in caching — each read request hits the filesystem directly
- ⚠No atomic multi-file creation — each file write is independent
- ⚠No built-in versioning or rollback — overwrites are permanent
- ⚠File permissions inherit from parent directory — no granular permission control per file
Requirements
Input / Output
UnfragileRank
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Repository Details
Last commit: Aug 20, 2025
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A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.
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