rmc-memos-mcp 0.1.3

Model Context Protocol (MCP) server for usememos/memos

Memos MCP Server

A Model Context Protocol (MCP) server to interact with usememos/memos (an open-source, self-hosted memo hub). Built using the official Python MCP SDK with FastMCP and Pydantic v2 for type-safe validation.

Features

This server exposes a set of tools to any MCP-compatible client (e.g., Claude Desktop, Cursor) allowing them to manage your Memos instance:

• Get User Info: Retrieve details about the authenticated user and verify connectivity.
• List Memos: List memos with support for sorting, state filtering (NORMAL/ARCHIVED), and pagination.
• Get Memo: Fetch a specific memo by ID or resource name.
• Create Memo: Create new memos with optional visibility (PRIVATE, PROTECTED, PUBLIC) and pinning.
• Update Memo: Update existing memo content, visibility, pin state, or archival status.
• Delete Memo: Permanently delete a memo.
• Search Memos: Easily search memos by content text and/or hashtags.

Prerequisites

• Python: >=3.14 (configured via pyproject.toml)
• uv: Modern Python package manager
• Memos: A running Memos instance (compatible with Memos v1 API)
• Access Token: A Personal Access Token (PAT) from your Memos account settings

Setup

1. Clone the Repository
2. Create Environment Configuration Copy the example environment file:

   cp .example.env .env
   

   Edit .env and fill in your Memos server details:

   MEMOS_URL="https://your-memos-instance.com"
   MEMOS_TOKEN="your_personal_access_token_here"
   

Configuration

To integrate this server with Claude Desktop, add the following configuration to your Claude Desktop config file (typically ~/Library/Application Support/Claude/claude_desktop_config.json on macOS).

Option 1: Running with uvx (Recommended, no cloning required)

You can run the server directly from PyPI using uvx without setting up a local repository:

{
  "mcpServers": {
    "memos": {
      "command": "uvx",
      "args": ["rmc-memos-mcp"],
      "env": {
        "MEMOS_URL": "https://your-memos-instance.com",
        "MEMOS_TOKEN": "your_personal_access_token_here"
      }
    }
  }
}

Option 2: Running from Local Source

If you are developing locally and want to run the server from this cloned repository, use the following configuration:

{
  "mcpServers": {
    "memos": {
      "command": "uv",
      "args": ["run", "-m", "memos_mcp"],
      "cwd": "/absolute/path/to/memos_mcp",
      "env": {
        "MEMOS_URL": "https://your-memos-instance.com",
        "MEMOS_TOKEN": "your_personal_access_token_here"
      }
    }
  }
}

Make sure to replace /absolute/path/to/memos_mcp with your actual directory path.

Development & Testing

This project uses uv for dependency management, and includes linting, type-checking, and test tools.

Installing Dependencies

uv sync

Running Linter and Formatter (Ruff)

uv run ruff check .

Running Type Checker (Mypy)

uv run mypy .

Running Unit Tests (Pytest)

PYTHONPATH=src uv run pytest

Debugging with MCP Inspector

You can debug the MCP server interactively using the official Inspector tool:

npx @modelcontextprotocol/inspector uv run -m memos_mcp

This launches a web interface to test the tools manually.