M

Memory Bank MCP Server 2.2.1

A memory bank server based on the Model Context Protocol (MCP) for cross - session management of project documents and context, helping AI agents (such as Claude) maintain consistent project knowledge through structured JSON - formatted global and branch - specific memory banks.
2.5 points
39

What is Memory Bank MCP Server?

This is an intelligent document management system specifically designed for AI agents (such as Claude). It uses the Model Context Protocol (MCP) to help AI remember project - related documents and context information, achieving cross - session knowledge consistency.

How to use Memory Bank MCP Server?

Simply specify your project document directory, and the server will automatically create and manage the global memory bank (global - memory - bank) and branch memory bank (branch - memory - bank). AI agents can access this structured knowledge through the MCP protocol.

Use Cases

It is particularly suitable for long - term development projects, collaborative scenarios that require maintaining context consistency across multiple AI sessions, and complex tasks that require AI to continuously learn project knowledge.

Main Features

Intelligent Memory ManagementAutomatically maintain global and branch - level memory banks to ensure that AI agents always access the latest project knowledge
MCP Protocol SupportAchieve efficient communication with AI agents through the standardized Model Context Protocol
VSCode IntegrationProvide a VSCode extension to facilitate developers to directly manage the memory bank in the IDE
Structured StorageUse JSON Schema to standardize the format of memory documents, ensuring data consistency and queryability

Advantages and Limitations

Advantages
Maintain long - term memory consistency of AI agents
Reduce the time for repeatedly explaining project background
Support multi - branch parallel development scenarios
Open - source and easy to expand
Limitations
Require initial setup of the document directory structure
Currently mainly support text - based knowledge management
Require a Node.js environment to run

How to Use

Installation Preparation
Ensure that Node.js and Yarn (v1.x) are installed
Clone and Install
Get the project code and install dependencies
Start the Server
Specify your project document path to start the MCP server
Use the Memory Bank
AI agents can now access the knowledge in the memory bank through the MCP protocol

Usage Examples

Long - term Project DevelopmentIn a 3 - month project, the AI agent maintains continuous memory of the project architecture and API specifications through the memory bank
Multi - branch CollaborationThe team is working on the feature/login and feature/payment branches simultaneously. The AI can provide accurate context based on the current branch

Frequently Asked Questions

How is the data in the memory bank stored?
Does it support integration with other IDEs?
How to update the content in the memory bank?

Related Resources

GitHub Repository
Project source code and latest updates
MCP Protocol Documentation
Detailed technical specifications of the Model Context Protocol
Example Project
A reference implementation for inspiration
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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