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Memory Bank MCP With Remote SSH Support

@aakarsh-sasi

代码仓库主页

基本信息

分类

记忆与知识

许可证

MIT

传输方式

stdio

作者

aakarsh-sasi

关于 Memory Bank MCP With Remote SSH Support

MCP Server with Remote SSH support

#memory-bank#mcp#remote-ssh

Memory Bank MCP With Remote SSH Support 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "memory-bank-mcp-aakarsh-sasi": {
      "command": "npx",
      "args": [
        "@aakarsh-sasi/memory-bank-mcp"
      ]
    }
  }
}

Memory Bank MCP With Remote SSH Support 工具

15

Initialize a Memory Bank in the specified directory

Set a custom path for the Memory Bank

Debug the current MCP configuration

Read a file from the Memory Bank

Write to a Memory Bank file

List Memory Bank files

Check Memory Bank status

Migrate Memory Bank files from camelCase to kebab-case naming convention

Track progress and update Memory Bank files

Update the active context file

Log a decision in the decision log

Switches to a specific mode

Gets information about the current mode

Processes the Update Memory Bank (UMB) command

Completes the Update Memory Bank (UMB) process

概览

What is Memory Bank MCP With Remote SSH Support?

A Model Context Protocol (MCP) server that enables AI assistants to store and retrieve structured information across sessions using Memory Banks. It now supports storing Memory Banks on a remote server via SSH.

How to use Memory Bank MCP With Remote SSH Support?

Install via npm (npm install @aakarsh-sasi/memory-bank-mcp) or run directly with npx (npx @aakarsh-sasi/memory-bank-mcp). Use command-line flags like --path, --folder, --mode, and --remote with --remote-user, --remote-host, --remote-path for remote mode. Configure as an MCP server in code editors like Cursor by specifying the npx command and arguments.

Key features of Memory Bank MCP With Remote SSH Support

  • Initialize, find, and manage Memory Banks
  • Read and write files in Memory Banks
  • Track progress and log important decisions
  • Maintain active context across sessions
  • Support multiple modes (code, architect, ask, debug, test)
  • Store Memory Banks on a remote server via SSH

Use cases of Memory Bank MCP With Remote SSH Support

  • Maintain project context and progress across multiple AI assistant sessions
  • Centralize Memory Banks on a remote server for shared access
  • Persist Memory Bank data even if the local machine is wiped
  • Log decisions with context and alternatives for project documentation
  • Automatically switch AI behavior based on mode-specific .clinerules files

常见问题

1

What is a Memory Bank?

A structured repository of information stored as markdown files, including `product-context.md`, `active-context.md`, `progress.md`, `decision-log.md`, and `system-patterns.md`.

2

Can I customize the Memory Bank folder name?

Yes, use the `--folder` option to set a custom folder name (e.g., `--folder custom-memory`). The Memory Bank is created at `<project_path>/<folder_name>`.

3

How do I set up the remote server mode?

Provide `--remote`, `--remote-user`, `--remote-host`, and `--remote-path` parameters. SSH key authentication is required; password authentication is not supported.

4

What modes are available and how do I switch?

Modes: `code`, `architect`, `ask`, `debug`, `test`. Start with `--mode <mode>` or use the `switch_mode` tool during a session. Mode-specific `.clinerules` files can also trigger automatic switching.

5

What are the SSH requirements for remote storage?

You need SSH access to the remote server, SSH key authentication set up, and sufficient permissions to create/modify files in the specified directory.

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