Q-CLI MCP Memory Server

@gengisb

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

作者

gengisb

Q-CLI MCP Memory Server について

an MCP server implementing a memory feature for Q CLI

Q-CLI MCP Memory 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": {
    "QCLI-memories-mcp": {
      "command": "python3",
      "args": [
        "mcp_memory_server.py"
      ]
    }
  }
}

Q-CLI MCP Memory 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 Q-CLI MCP Memory Server?

It is a contextual memory system designed for CLI tools used by developers and cloud engineers. It persists memory across sessions, helping AI assistants remember user information, preferences, code patterns, and architecture decisions.

How to use Q-CLI MCP Memory Server?

Clone the repository, install dependencies with pip install -r requirements.txt, and run python3 mcp_memory_server.py. Then configure your MCP client by adding an entry to mcp.json with command python and args pointing to the path of memories_server.py.

Key features of Q-CLI MCP Memory Server

Intelligent memory storage with tags (#code, #architecture, #personal, #project)
Contextual retrieval via exact key, keyword search, or context inference
Multi‑user support with separate memory spaces per user
Progressive learning that builds understanding over time

Use cases of Q-CLI MCP Memory Server

Remembering personal preferences and programming language choices
Storing AWS infrastructure patterns and configurations
Recording previous errors and their solutions
Tracking project‑specific requirements and deadlines
Eliminating the need to repeat technical context in each session

よくある質問

Does Q-CLI MCP Memory Server support cloud‑based memory?

Currently it supports only a local SQLite database. Cloud‑based memory is a planned future goal.

How does Q-CLI MCP Memory Server categorize memories?

It automatically assigns tags such as `#code`, `#architecture`, `#personal`, and `#project` to categorize stored information.

How does Q-CLI MCP Memory Server handle multiple users?

It identifies users from conversation context and maintains separate memory spaces for each user, with potential for shared project contexts across users.

What are the installation requirements for Q-CLI MCP Memory Server?

Python is required. The server is installed by cloning the repository and running `pip install -r requirements.txt`.

How do I configure Q-CLI MCP Memory Server in my MCP client?

Add an entry to your `mcp.json` file with `"command": "python"` and `"args": ["PATH_TO_YOUR_FILE/memories_server.py"]`, replacing the path with the actual location of the file.

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