Memos FAQs

Question 1

What is Memos?

Accepted Answer

Memos is a Python package that acts as an MCP (Model Context Protocol) server, enabling LLMs (Large Language Models) to interact with a Memos server. This allows LLMs to access, search, and manage your memos.

Question 2

How do I install and configure Memos?

Accepted Answer

You can install Memos using pip (`pip install mcp-server-memos`) or Smithery.  Configuration involves setting the Memos server host, port, and access token in your MCP server configuration. Refer to the README for detailed instructions.

Question 3

What features does Memos provide?

Accepted Answer

Memos enables LLMs to search memos with keywords, create new memos with customizable visibility (public, protected, private), retrieve memo content by ID, list and manage memo tags, and securely authenticate using access tokens.

Question 4

What tools are available for interacting with Memos through this server?

Accepted Answer

The MCP server provides tools like `list_memo_tags`, `search_memo`, `create_memo`, and `get_memo`. These tools allow you to manage and retrieve information from your Memos server via LLMs.

Question 5

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP (Model Context Protocol) is a standard protocol that allows LLMs to interact with external data sources, like Memos.  Memos implements an MCP server to give LLMs access to the information stored in your Memos instance.

Memos

Memos

Key Features

Use Cases

Key Features

Use Cases