Overview of MCP Server with Remote SSH Support
The MCP Server with Remote SSH support stands as a revolutionary tool in the realm of AI memory management, offering a robust framework for managing Memory Banks. This server is integral to the operations of AI assistants, enabling them to store, retrieve, and maintain context across multiple sessions. With its remote server support feature, it ensures that Memory Banks can be stored and accessed from anywhere, providing unparalleled flexibility and reliability.
Use Cases
1. Centralized Memory Storage
The MCP Server allows businesses to centralize their Memory Banks, facilitating easy access and management of data. This is particularly beneficial for organizations with distributed teams, as it ensures all team members can access the same information, reducing redundancy and improving efficiency.
2. Enhanced Collaboration
With remote server support, multiple users can access and update the same Memory Bank. This feature enhances collaboration among team members, allowing for real-time updates and decision logging. It ensures that all stakeholders are on the same page, fostering a more cohesive work environment.
3. Persistent and Secure Data Management
The ability to store Memory Banks on remote servers via SSH ensures that data is not only persistent but also secure. This is crucial for businesses that handle sensitive information, as it mitigates the risk of data loss and unauthorized access.
Key Features
Memory Bank Management
The MCP Server provides comprehensive tools for initializing, finding, and managing Memory Banks. This includes capabilities for reading and writing files, tracking progress, logging decisions, and maintaining active context information.
Remote Server Support
One of the standout features of the MCP Server is its support for remote servers. By utilizing SSH, users can store Memory Banks on remote servers, ensuring data is centralized and accessible from anywhere. This feature is particularly beneficial for organizations with remote teams or those that require high availability of data.
Robust Error Handling
The server is designed with robust error handling capabilities, allowing it to gracefully manage and continue operations even when errors occur. This ensures minimal disruption to workflows and enhances the reliability of the system.
Customizable Directory Structure
Users can customize the directory structure of their Memory Banks, allowing for greater flexibility in how data is organized and accessed. This feature is particularly useful for large projects that require a tailored approach to data management.
Integration with UBOS Platform
The MCP Server seamlessly integrates with the UBOS Platform, a full-stack AI agent development platform. UBOS is dedicated to bringing AI agents to every business department, offering tools to orchestrate AI agents, connect them with enterprise data, and build custom AI agents using LLM models and multi-agent systems.
Recent Improvements
- Remote Server Support: Enhanced capabilities for storing Memory Banks on remote servers via SSH.
- Customizable Folder Name: Users can now specify custom folder names for their Memory Banks.
- Improved Directory Detection: Better detection of existing Memory Bank directories, ensuring seamless integration and setup.
Conclusion
The MCP Server with Remote SSH support is a powerful tool for AI memory management, offering a suite of features that enhance collaboration, data management, and system reliability. Its integration with the UBOS Platform further extends its capabilities, making it an indispensable asset for businesses looking to leverage AI technology effectively.
Memory Bank
Project Details
- aakarsh-sasi/memory-bank-mcp
- @aakarsh-sasi/memory-bank-mcp
- MIT License
- Last Updated: 4/11/2025
Categories
Recomended MCP Servers
MCP Server to retrieve documentation for a package

MCP Server for Telegram
MCP Server for Mixpanel API (talk to your Mixpanel data)
Allow MCP clients like claude-desktop to use rooms to coordinate with other agents
MCP server that interacts with TickTick via the TickTick Open API
A Model Context Protocol server for Scrapybara
MCP server for enabling LLM applications to perform deep research via the MCP protocol
Inkeep MCP Server