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Mcp Workflowy

@danield137

代码仓库

关于 Mcp Workflowy

An MCP server for workflowy

基本信息

分类

其他

许可证

MIT

运行时

node

传输方式

stdio

发布者

danield137

提交者

Daniel Dror

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": ""
      }
    }
  }
}

工具

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

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

FAQ from Mcp Workflowy

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.

How do I connect an

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