MCP-Memory Bank

# MCP Memory Bank Server 🧠

A powerful, context management system for Large Language Models (LLMs). Built with ChromaDB and modern embedding technologies, it provides persistent, project-specific memory capabilities that enhance your AI's understanding and response quality.

✨ Key Features

• 🚀 High Performance: Optimized vector storage with ChromaDB
• 🔒 Project Isolation: Separate context spaces for different projects
• 🔍 Smart Search: Both semantic and keyword-based search capabilities
• 🔄 Real-time Updates: Dynamic content management with automatic chunking
• 🎯 Precise Recall: Advanced embedding generation via @xenova/transformers
• 🐳 Easy Deployment: Docker-ready with persistent storage

🏗️ System Architecture

graph TB
    Client[Client Application]
    MCP[MCP Protocol Layer]
    Tools[Tool Registration]
    PS[Project Service]
    ES[Embedding Service]
    SS[Search Service]
    DS[Database Service]
    ChromaDB[(ChromaDB)]
    
    Client -->|API Calls| MCP
    MCP -->|Register| Tools
    Tools -->|Project Ops| PS
    Tools -->|Search Ops| SS
    PS -->|Store/Retrieve| DS
    SS -->|Query| DS
    SS -->|Generate| ES
    DS -->|Vector Ops| ChromaDB
    
    subgraph Core Services
        PS
        ES
        SS
        DS
    end
    
    subgraph External Dependencies
        ChromaDB
    end
    
    style Client fill:#f9f,stroke:#333,stroke-width:2px
    style MCP fill:#bbf,stroke:#333,stroke-width:2px
    style ChromaDB fill:#bfb,stroke:#333,stroke-width:2px
    style Core Services fill:#fff,stroke:#333,stroke-width:2px,stroke-dasharray: 5 5

🚀 Quick Start

Prerequisites

• Node.js (v18+ LTS recommended)
• npm (v9+ recommended)
• Docker Desktop (latest stable)
• 2GB+ free RAM
• 1GB+ free disk space

One-Command Setup

# Clone, install, and run in development mode
git clone https://github.com/your-org/mcp-memory-bank.git && cd mcp-memory-bank && npm install && docker-compose up -d && npm run dev

🔄 Project Lifecycle

stateDiagram-v2
    [*] --> ProjectCreation: memoryBank_createProject
    ProjectCreation --> Initialization: memoryBank_initializeProject
    
    state Initialization {
        [*] --> CreateStandardFiles
        CreateStandardFiles --> ProjectBrief: projectbrief.md
        CreateStandardFiles --> ActiveContext: activeContext.md
        CreateStandardFiles --> ProductContext: productContext.md
        CreateStandardFiles --> SystemPatterns: systemPatterns.md
        CreateStandardFiles --> TechContext: techContext.md
        CreateStandardFiles --> Progress: progress.md
    }
    
    Initialization --> ContentManagement
    
    state ContentManagement {
        [*] --> FileOperations
        FileOperations --> UpdateFile: memoryBank_updateFile
        FileOperations --> GetFile: memoryBank_getFile
        FileOperations --> ListFiles: memoryBank_listFiles
        FileOperations --> DeleteFile: memoryBank_deleteFile
        
        state Search {
            [*] --> SemanticSearch
            [*] --> KeywordSearch
        }
        
        FileOperations --> Search: memoryBank_search
    }
    
    ContentManagement --> ProjectDeletion: memoryBank_deleteProject
    ProjectDeletion --> [*]

📚 API Documentation

Core Tools

Project Management

• memoryBank_createProject: Create isolated project spaces
• memoryBank_initializeProject: Create standard Memory Bank files in a project
• memoryBank_deleteProject: Clean up project data
• memoryBank_listProjects: View all projects
• memoryBank_getProjectByName: Fetch project details

Content Management

• memoryBank_updateFile: Store/update content with auto-chunking
• memoryBank_getFile: Retrieve full content
• memoryBank_listFiles: View stored files
• memoryBank_deleteFile: Remove content
• memoryBank_search: Semantic/keyword search

🔧 Configuration

Environment Variables

CHROMADB_URL=http://localhost:8000
MCP_MEMBANK_EMBEDDING_MODEL=Xenova/all-MiniLM-L6-v2
# Optional: Controls the logging verbosity. Defaults to 'info'.
# Possible values: 'debug', 'info', 'warn', 'error'
LOG_LEVEL=info

🐛 Troubleshooting

Common Issues

1. ChromaDB Connection Failed

   # Check if container is running
   docker ps | grep chroma
   # Restart if needed
   docker-compose restart
   

2. Memory Issues

   • Ensure Docker has sufficient memory allocation
   • Consider reducing batch sizes in heavy operations

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📈 Performance Considerations

• Vector operations scale with embedding dimensions
• Batch operations for better throughput
• Use appropriate chunk sizes (default: 512 tokens)
• Consider index optimization for large datasets

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

Built with ❤️ by the bsmi021