MCP Workflowy

@danield137

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

danield137

提交者

Daniel Dror

关于 MCP Workflowy

An MCP server for workflowy

MCP Workflowy 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Workflowy 工具

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

概览

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

常见问题

What dependencies are required?

Node.js v18 or higher and a Workflowy account.

How is authentication handled?

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

Where does the data live?

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

What tools are available?

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

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