What is Memos?
Memos is a lightweight, self‑hosted memo hub. It allows you to store short notes and snippets on your own server.
@RyoJerryYu
Basic information
A Python package enabling LLM models to interact with the Memos server via the MCP interface for searching, creating, retrieving, and managing memos.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-memos-py": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@RyoJerryYu/mcp-server-memos-py",
"--client",
"claude"
]
}
}
}Tool list not available yet
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MCP Server Memos 📝 is a Python package that gives LLM models the ability to interact with a Memos server through the Model Context Protocol (MCP) interface. It is designed for developers building LLM-powered applications that need to search, create, and manage self‑hosted memo notes.
Install the package via pip install mcp-server-memos or automatically through Smithery. Configure it with a hostname, port, and access token, then add it to your MCP client’s configuration file (e.g., "mcpServers" in Claude Desktop). You can also run it directly from the command line: mcp-server-memos --host localhost --port 8080 --token YOUR_ACCESS_TOKEN.
Memos is a lightweight, self‑hosted memo hub. It allows you to store short notes and snippets on your own server.
You can install it via `pip install mcp-server-memos` or use Smithery’s CLI: `npx -y @smithery/cli install @RyoJerryYu/mcp-server-memos-py --client claude`.
You need to provide the hostname and port of your Memos server (defaults: `localhost` and `8080`) and an access token for authentication. These can be set as command‑line arguments or in a Python `Config` object.
It offers four tools: `list_memo_tags` (list tags), `search_memo` (search by keyword), `create_memo` (create a new memo with a chosen visibility), and `get_memo` (retrieve a memo by its ID).
Yes. It uses an access token passed via the `--token` parameter or `token` config field. The token is sent to the Memos server for every request.
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