Memory Bank MCP Server

This MCP server helps to build structured documentation system based on Cline's Memory Bank pattern for context preservation in AI assistant environments.

Learn how to setup and use Memory Bank directly in Cursor: http://enlightby.ai/projects/37

Features

Get detailed information about Memory Bank structure
Generate templates for Memory Bank files
Analyze project and provide suggestions for Memory Bank content

Running the Server

There are a few options to use this MCP server:

With UVX

Add this to your mcp.json config file:

{
  "mcpServers": {
    "mcp-memory-bank": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/ipospelov/mcp-memory-bank",
        "mcp_memory_bank"
      ]
    }
  }
}

With Smithery

Add this to your mcp.json config file:

{
  "mcpServers": {
    "memory-bank": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "run",
        "@ipospelov/mcp-memory-bank",
        "--key",
        "your_smithery_key"
      ]
    }
  }
}

With Docker

Add this to your mcp.json config file:

{
  "mcpServers": {
    "memory-bank": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "19283744/mcp-memory-bank:latest"
      ]
    }
  }
}

Manually

Clone repository and run the following commands:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

Then add this to your mcp.json config file:

{
  "mcpServers": {
    "memory-bank": {
      "command": "python",
      "args": ["src/mcp_memory_bank/main.py"]
    }
  }
}

Usage Example

Ask Cursor or any other AI code assistant with Memory Bank MCP:

Create memory bank for To Do list application with your tools

Provide more context to get better results.

Available Tools

get_memory_bank_structure

Returns a detailed description of the Memory Bank file structure.

generate_memory_bank_template

Returns a template for a specific Memory Bank file.

Example:

{
  "file_name": "projectbrief.md"
}

analyze_project_summary

Analyzes a project summary and provides suggestions for Memory Bank content.

Example:

{
  "project_summary": "Building a React web app for inventory management with barcode scanning"
}

Memory Bank Structure

The Memory Bank consists of core files and optional context files, all in Markdown format:

Core Files (Required)

projectbrief.md - Foundation document that shapes all other files
productContext.md - Explains why the project exists, problems being solved
activeContext.md - Current work focus, recent changes, next steps
systemPatterns.md - System architecture, technical decisions, design patterns
techContext.md - Technologies used, development setup, constraints
progress.md - What works, what's left to build
memory_bank_instructions.md - How to work with Memory Bank, instructtions for AI-agent

You must be authenticated.

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

Provides a structured documentation system for context preservation in AI assistant environments, helping users create and manage memory banks for their projects.

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