Memory Bank MCP

🚀 Memory Bank MCP

A project knowledge management system implemented through the Model Context Protocol (MCP) for structured document recording.

Memory Bank is an MCP server that helps teams create, manage, and access structured project documentation. It records different aspects of project knowledge, from high - level goals to technical details and daily progress, by generating and maintaining a series of interconnected Markdown files.

✨ Features

• AI - Automated Documentation Generation: Automatically generate comprehensive project documentation using the Gemini API.
• Structured Knowledge System: Maintain six core document types to organize knowledge in a hierarchical structure.
• MCP Integration: Implement the Model Context Protocol for seamless integration with AI assistants.
• Custom Location: Specify the location to create the Memory Bank directory.
• Document Templates: Pre - defined templates for project briefs, product contexts, system patterns, etc.
• AI - Assisted Updates: Update documents manually or with AI assistance.
• Advanced Query: Search across all documents with context - aware relevance sorting.

📦 Installation

# Clone the repository
git clone https://github.com/tuncer-byte/memory-bank-mcp.git
cd memory-bank-mcp

# Install dependencies
npm install

# Create a .env file and add the Gemini API key (optional)
echo "GEMINI_API_KEY=your_api_key_here" > .env

💻 Usage Examples

Basic Usage

# Start in development mode
npm run dev

Advanced Usage

# Build the project
npm run build

# Start in production mode
npm run start

📚 Documentation

MCP Configuration

The Memory Bank interacts with MCP through the following configuration:

{
  "servers": {
    "@tuncer-byte/memory-bank-MCP": {
      "url": "https://glama.ai/mcp/servers/@tuncer-byte/memory-bank-MCP"
    }
  }
}

Provided Tools

The Memory Bank provides the following features:

1. Create Documents: Generate structured project documentation.
2. Update Content: Edit and maintain documents in real - time.
3. Export Data: Export content in JSON or folder format.
4. Query Information: Search for project - related knowledge.

Document Types

The Memory Bank organizes project knowledge into six core document types:

1. Project Brief (projectbrief.md): A core document defining project goals, scope, and vision.
2. Product Context (productContext.md): Records product features from the user's perspective.
3. System Patterns (systemPatterns.md): Establishes system architecture and component relationships.
4. Technical Context (techContext.md): Specifies the technology stack and implementation details.
5. Active Context (activeContext.md): Tracks current tasks, unresolved issues, and development priorities.
6. Progress Record (progress.md): Records completed work, milestones, and project history.

📄 License

MIT