How do I install Memory Bank MCP Server?
You can install it automatically via Smithery (`npx -y @smithery/cli install @alioshr/memory-bank-mcp --client claude`) or manually by adding the npx command to your MCP client configuration.
@alioshr
基本情報
A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"memory-bank-mcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@alioshr/memory-bank-mcp",
"--client",
"claude"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Memory Bank MCP Server is a Model Context Protocol (MCP) server for remote memory bank management, inspired by Cline Memory Bank. It transforms file-based memory banks into a centralized service, offering remote access, multi‑project management, consistent file structure, and project isolation.
Configure the server in your MCP client’s settings (Claude Desktop, Claude Code, Cursor, Cline, or Roo Code) by setting the environment variable MEMORY_BANK_ROOT to the directory where project memory banks are stored. Use npx -y @allpepper/memory-bank-mcp as the command. After configuration, your AI assistant can invoke tools like memory_bank_read, memory_bank_write, memory_bank_update, list_projects, and list_project_files.
You can install it automatically via Smithery (`npx -y @smithery/cli install @alioshr/memory-bank-mcp --client claude`) or manually by adding the npx command to your MCP client configuration.
Set the `MEMORY_BANK_ROOT` environment variable to the absolute path of the directory where project memory banks are stored. Optionally, you can define `autoApprove` operations to skip user prompts for trusted actions.
The server works with Claude Desktop, Claude Code, Cursor, Cline, and Roo Code. Each client requires a slightly different configuration file path and format, as described in the README.
The server provides five tools: `memory_bank_read`, `memory_bank_write`, `memory_bank_update`, `list_projects`, and `list_project_files`. These cover reading, creating, and updating memory bank files, as well as enumerating projects and project files.
Local MCP server and CLI that keeps a Git-versioned, model-written index of a codebase and its database schema, so coding agents start each task with the whole system in view.
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.
コメント