広告掲載
MCP.so
ログイン

Memory Bank MCP Server

@ipospelov

リポジトリホームページ

基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT

トランスポート

stdio

作者

ipospelov

Memory Bank MCP Server について

MCP server that helps build Memory Bank - structured documentation system for context preservation

#memory-bank#ai-assistant#context-preservation

Memory Bank MCP Server の設定

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": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "19283744/mcp-memory-bank:latest"
      ]
    }
  }
}

Memory Bank MCP Server のツール

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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Memory Bank MCP Server?

Memory Bank MCP Server is a tool that helps build a structured documentation system based on Cline's Memory Bank pattern for context preservation in AI assistant environments. It integrates with AI code assistants like Cursor to create and manage project documentation.

How to use Memory Bank MCP Server?

Install via uvx, Smithery, Docker, or manually by cloning the repo and running the Python script. Configure the server in your mcp.json file, then ask your AI assistant to create a memory bank for your project.

Key features of Memory Bank MCP Server

  • Get detailed information about Memory Bank structure
  • Generate templates for Memory Bank files
  • Analyze project summaries and provide suggestions

Use cases of Memory Bank MCP Server

  • Create a memory bank for a new project to guide AI context
  • Generate structured documentation files like project briefs or tech context
  • Analyze a project summary to improve Memory Bank content
  • Preserve context across AI assistant sessions

よくある質問

1

What is the Memory Bank pattern?

It is a structured documentation system with core files (e.g., project brief, product context, active context) and optional context files, all in Markdown format, designed to preserve context in AI assistant environments.

2

How do I install Memory Bank MCP Server?

You can run it via `uvx`, Smithery, Docker, or manually by cloning the repository and running the Python virtual environment. Configuration is added to the MCP client's `mcp.json` file.

3

What tools does the server provide?

Three tools: `get_memory_bank_structure` (returns structure details), `generate_memory_bank_template` (returns a template for a specified file), and `analyze_project_summary` (analyzes a summary and provides suggestions).

4

What are the core Memory Bank files?

The required core files are: `projectbrief.md`, `productContext.md`, `activeContext.md`, `systemPatterns.md`, `techContext.md`, `progress.md`, and `memory_bank_instructions.md`.

5

Does the server require any special runtime?

Yes, it requires Python and can be run via `uvx`, Docker, or manually with a virtual environment. No special authentication or transport is mentioned.

コメント

「メモリとナレッジ」の他のコンテンツ

Orcha

westonhancock

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age

Tempreon

Tempreon

Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.

Memory

modelcontextprotocol

Model Context Protocol Servers

88.1K

agentleFS

agentleFS

One permissioned folder your team and your AI agents both log into.

LoreKeeper RPG (lorekeeper.com)

LoreKeeper Ltd

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.

広告掲載