This MCP server provides a Command Line Interface for Workflowy, allowing users to connect AI assistants to their Workflowy data and perform various operations such as search, bulk replace, and usage reports.
From the registry: Create, update, complete nodes, search & replace with regex and dry run, usage reports, transforms
$ mkdir -p ~/.workflowy && echo 'your-api-key' > ~/.workflowy/api.keyhttps://workflowy.com/api-key/$ brew install mholzen/workflowy/workflowy-cliPlease install the `workflowy` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Workflowy API Key** — Get at https://workflowy.com/api-key/ Run: `mkdir -p ~/.workflowy && echo 'your-api-key' > ~/.workflowy/api.key` (https://workflowy.com/api-key/)
- **workflowy-cli binary** — Install via Homebrew or Scoop Run: `brew install mholzen/workflowy/workflowy-cli`
Canonical MCP server config (stdio transport):
- command: `workflowy`
- args: ["mcp","--expose=all"]
Note: Remove --expose=all to limit to read-only tools. Also available as Docker image. Go-based binary.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.WORKFLOWY_API_KEYrequiredAPI key for accessing Workflowy dataControl Unreal Engine to browse assets, import content, and manage levels and sequences. Automate…