Workflowy FAQs

Name: Workflowy
Author: mholzen

Question 1

How does it integrate with AI assistants like Claude or ChatGPT?

Accepted Answer

The built-in MCP server securely exposes your Workflowy data to compatible AI assistants. They can then utilize a set of predefined tools to read, search, report on, and even modify your Workflowy content based on configured permissions.

Question 2

How do I get started with Workflowy CLI and set it up?

Accepted Answer

The recommended installation method is via Homebrew: `brew install mholzen/workflowy/workflowy-cli`. After installation, you'll need to configure your Workflowy API key in `~/.workflowy/api.key` to connect to your account.

Question 3

Can I access my Workflowy data offline with this tool?

Accepted Answer

Yes, it supports an offline mode. By utilizing your Workflowy Dropbox backup files, you can access and perform operations like searching and reporting on your outline even without an active internet connection.

Question 4

What is Workflowy CLI & MCP Server?

Accepted Answer

It's a robust command-line interface (CLI) and Model Context Protocol (MCP) server for Workflowy, designed to manage your outlines, integrate AI assistants, and automate tasks directly from your terminal or scripts.

Question 5

What advanced data management features does the CLI offer?

Accepted Answer

The CLI provides powerful features including full-text search with regex, bulk find and replace operations, comprehensive usage reports (e.g., identifying stale nodes or content hot spots), and all essential CRUD (create, read, update, delete) operations.

Workflowy

Workflowy

Key Features

Use Cases

Key Features

Use Cases