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Q-CLI MCP Memory Server

@gengisb

代码仓库

基本信息

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记忆与知识

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stdio

作者

gengisb

关于 Q-CLI MCP Memory Server

an MCP server implementing a memory feature for Q CLI

Q-CLI MCP Memory Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "QCLI-memories-mcp": {
      "command": "python3",
      "args": [
        "mcp_memory_server.py"
      ]
    }
  }
}

Q-CLI MCP Memory Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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.

2

How does Q-CLI MCP Memory Server categorize memories?

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

3

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.

4

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`.

5

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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