mcp-memory-bank
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The Memory Bank MCP Server is designed to create a structured documentation system for context preservation in AI assistant environments.
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
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 filesproductContext.md
- Explains why the project exists, problems being solvedactiveContext.md
- Current work focus, recent changes, next stepssystemPatterns.md
- System architecture, technical decisions, design patternstechContext.md
- Technologies used, development setup, constraintsprogress.md
- What works, what's left to buildmemory_bank_instructions.md
- How to work with Memory Bank, instructtions for AI-agent