MIT License
The mcp-workflowy server enables programmatic interaction with Workflowy lists via the Model Context Protocol (MCP). With this server, AI assistants can:
List nodes: Fetch root nodes or children of a specific parent
Search nodes: Find nodes using a query
Create nodes: Add new nodes to Workflowy
Update nodes: Modify a node's text or description
Toggle completion: Mark nodes as complete or incomplete
Supports loading environment variables from a .env file for storing Workflowy credentials.
Required runtime environment for the MCP server (v18 or higher).
Used for installation and package management of the MCP server.
Workflowy MCP
A Model Context Protocol (MCP) server for interacting with Workflowy. This server provides an MCP-compatible interface to Workflowy, allowing AI assistants to interact with your Workflowy lists programmatically.
What is MCP?
The Model Context Protocol (MCP) is a standardized way for AI models to interact with external tools and APIs. This server implements MCP to allow AI assistants (like ChatGPT) to read and manipulate your Workflowy lists through a set of defined tools.
Features
Workflowy Integration: Connect to your Workflowy account using username/password authentication
MCP Compatibility: Full support for the Model Context Protocol
Tool Operations: Search, create, update, and mark nodes as complete/incomplete in your Workflowy
Example Usage:
Personally, I use workflowy as my project management tool. Giving my agent access to my notes, and my code base, the following are useful prompts:
"Show my all my notes on project XYZ in workflowy"
"Review the codebase, mark all completed notes as completed"
"Given my milestones on workflowy for this project, suggest what my next task should be"
Installation
Prerequisites
Node.js v18 or higher
A Workflowy account
Quick Install
# Install the package globally
npm install -g mcp-workflowy
# Or use npx to run it directly
npx mcp-workflowy server start
Configuration
Create a .env file in your project directory with the following content:
WORKFLOWY_USERNAME=your_username_here
WORKFLOWY_PASSWORD=your_password_here
Alternatively, you can provide these credentials as environment variables when running the server.
Usage
Starting the Server
# If installed globally
mcp-workflowy server start
# Using npx
npx mcp-workflowy server start
Available Tools
This MCP server provides the following tools to interact with your Workflowy:
list_nodes - Get a list of nodes from your Workflowy (root nodes or children of a specified node)
search_nodes - Search for nodes by query text
create_node - Create a new node in your Workflowy
update_node - Modify an existing node's text or description
toggle_complete - Mark a node as complete or incomplete
Integrating with AI Assistants
To use this MCP server with AI assistants (like ChatGPT):
Start the MCP server as described above
Connect your AI assistant to the MCP server (refer to your AI assistant's documentation)
The AI assistant will now be able to read and manipulate your Workflowy lists
One-Click
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
mcp-workflowy
- What is MCP?
- Features
- Example Usage:
- Installation
- Configuration
- Usage
- Integrating with AI Assistants
- One-Click
- Contributing
- License
Related Resources
Related MCP Servers
- MIT License
- MIT License