Memory Bank MCP

Memory Bank is an MCP server that helps teams create, manage, and access structured project documentation. It generates and maintains a set of interconnected Markdown documents that capture different aspects of project knowledge, from high-level goals to technical details and day-to-day progress.

Features

• AI-Generated Documentation: Leverages Gemini API to automatically generate comprehensive project documentation

• Structured Knowledge System: Maintains six core document types in a hierarchical structure

• MCP Integration: Implements the Model Context Protocol for seamless integration with AI assistants

• Customizable Location: Specify where you want your Memory Bank directory created

• Document Templates: Pre-defined templates for project brief, product context, system patterns, etc.

• AI-Assisted Updates: Update documents manually or regenerate them with AI assistance

• Advanced Querying: Search across all documents with context-aware relevance ranking

Related MCP server: Linear

Installation

Usage

Development Mode

Production Mode

MCP Configuration

To integrate Memory Bank with the Model Context Protocol (MCP), add the following configuration to your mcp.json file:

Replace /path/to/memory-bank-mcp/dist/index.js with the absolute path to your built index.js file, and add your Gemini API key (if applicable).

Example:

MCP Tools

Memory Bank MCP provides the following tools via the Model Context Protocol:

initialize_memory_bank

Creates a new Memory Bank structure with all document templates.

Parameters:

• goal (string): Project goal description (min 10 characters)

• geminiApiKey (string, optional): Gemini API key for document generation

• location (string, optional): Absolute path where memory-bank folder will be created

Example:

update_document

Updates a specific document in the Memory Bank.

Parameters:

• documentType (enum): One of: projectbrief, productContext, systemPatterns, techContext, activeContext, progress

• content (string, optional): New content for the document

• regenerate (boolean, default: false): Whether to regenerate the document using AI

Example:

query_memory_bank

Searches across all documents with context-aware relevance ranking.

Parameters:

• query (string): Search query (min 5 characters)

Example:

export_memory_bank

Exports all Memory Bank documents.

Parameters:

• format (enum, default: "folder"): Export format, either "json" or "folder"

• outputPath (string, optional): Custom output path for the export

Example:

Document Types

Memory Bank organizes project knowledge into six core document types:

1. Project Brief (projectbrief.md): Core document defining project objectives, scope, and vision

2. Product Context (productContext.md): Documents product functionality from a user perspective

3. System Patterns (systemPatterns.md): Establishes system architecture and component relationships

4. Tech Context (techContext.md): Specifies technology stack and implementation details

5. Active Context (activeContext.md): Tracks current tasks, open issues, and development focus

6. Progress (progress.md): Documents completed work, milestones, and project history

License

MIT