Integrations
Provides deployment option for running the Memory Bank MCP Server in a containerized environment
Mentioned as one of the platforms powering the Memory Bank MCP Server, suggesting integration with Hyperskill's educational content or structure
All Memory Bank files are stored in Markdown format, with the MCP server providing templates and structure for these documents
Memory Bank MCP Server
This MCP server provides a structured documentation system for context preservation in AI assistant environments.
Powered by Enlighter and Hyperskill
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 Smithery
Add this to your mcp.json config file:
With SSE
Add this to your mcp.json config file:
With Docker
Add this to your mcp.json config file:
Manually
Run the following commands:
Then add this to your mcp.json config file:
Usage Example
Ask Cursor or any other AI code assistant with Memory Bank MCP:
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:
analyze_project_summary
Analyzes a project summary and provides suggestions for Memory Bank content.
Example:
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 build
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
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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