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MCP Workflowy

@danield137

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

danield137

Submitted by

Daniel Dror

About MCP Workflowy

An MCP server for workflowy

MCP Workflowy config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "workflowy": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-workflowy@latest",
        "server",
        "start"
      ],
      "env": {
        "WORKFLOWY_USERNAME": "",
        "WORKFLOWY_PASSWORD": ""
      }
    }
  }
}

MCP Workflowy tools

5

List nodes in Workflowy. If a `parentId` is provided, it lists the child nodes of that parent. If omitted, it lists the root nodes.

Search nodes in Workflowy

Create a new node

Update an existing node

Toggle completion status of a node

Overview

What is Mcp Workflowy?

Mcp Workflowy is an MCP server that provides a programmatic interface to Workflowy, enabling AI assistants to read and manipulate Workflowy lists. It uses username/password authentication and offers tools for searching, creating, updating, and toggling nodes.

How to use Mcp Workflowy?

Install globally via npm install -g mcp-workflowy or run directly with npx mcp-workflowy server start. Configure credentials via a .env file with WORKFLOWY_USERNAME and WORKFLOWY_PASSWORD, or set them as environment variables. Then start the server and connect your AI assistant to the MCP server.

Key features of Mcp Workflowy?

  • Workflowy integration with username/password authentication
  • Full Model Context Protocol (MCP) compatibility
  • List, search, create, update, and toggle nodes
  • One-click installation in VS Code

Use cases of Mcp Workflowy?

  • Retrieve all notes on a specific project from Workflowy
  • Mark completed codebase tasks as done in Workflowy
  • Suggest next tasks based on Workflowy milestones
  • Programmatically manage Workflowy nodes via AI assistants

Frequently asked questions

1

What dependencies are required?

Node.js v18 or higher and a Workflowy account.

2

How is authentication handled?

Credentials are provided via environment variables or a .env file with WORKFLOWY_USERNAME and WORKFLOWY_PASSWORD.

3

Where does the data live?

The README does not specify data location; it connects to Workflowy’s cloud service.

4

What tools are available?

Tools include list_nodes, search_nodes, create_node, update_node, and toggle_complete.

Comments

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