Memory Bank MCP Server
About
MCP server that helps build Memory Bank - structured documentation system for context preservation
Details
- Author
- ipospelov
- GitHub stars
- 78
- Downloads
- 611
- Categories
- Knowledge Base
Jump to
- Get detailed information about Memory Bank structure
- Generate templates for Memory Bank files
- Analyze project summaries and provide suggestions
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Memory Bank MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via uvx, Smithery, Docker, or manually by cloning the repo and running the Python script. Configure the server in your mcp.json file, then ask your AI assistant to create a memory bank for your project.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"memory bank mcp server": {
"memory-bank": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"19283744/mcp-memory-bank:latest"
]
}
}
}
}
McpServers
{
"memory-bank": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"19283744/mcp-memory-bank:latest"
]
}
}
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.
Powered by Enlighter and Hyperskill.
Learn how to setup and use Memory Bank directly in Cursor: http://enlightby.ai/projects/37
<a href="https://glama.ai/mcp/servers/@ipospelov/mcp-memory-bank">
</a>
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)
1. projectbrief.md - Foundation document that shapes all other files
2. productContext.md - Explains why the project exists, problems being solved
3. activeContext.md - Current work focus, recent changes, next steps
4. systemPatterns.md - System architecture, technical decisions, design patterns
5. techContext.md - Technologies used, development setup, constraints
6. progress.md - What works, what's left to build
7. memory_bank_instructions.md - How to work with Memory Bank, instructtions for AI-agent
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