Question 1

What is TaskFlow MCP?

Accepted Answer

TaskFlow MCP is a task management Model Context Protocol (MCP) server designed to enhance AI assistants by breaking down complex user requests into manageable tasks with subtasks, dependencies, and notes. It enforces a structured workflow with user approval steps.

Question 2

What are the key features of TaskFlow MCP?

Accepted Answer

The key features include task management, subtasks, dependencies, notes, user approval, and easy integration with AI assistants.

Question 3

What are the prerequisites for installing TaskFlow MCP?

Accepted Answer

You need to have Node.js (version 14 or higher) and npm (Node Package Manager) installed on your system.

Question 4

How do I install TaskFlow MCP?

Accepted Answer

Clone the repository from GitHub, navigate to the project directory, install the dependencies using `npm install`, and start the server using `npm start`.

Question 5

How do I create a new task using TaskFlow MCP?

Accepted Answer

Send a request to the server with the task details. The server will respond with a unique task ID.

Question 6

Can I add subtasks to existing tasks?

Accepted Answer

Yes, you can add subtasks to any existing task by specifying the parent task ID.

Question 7

How do I define dependencies between tasks?

Accepted Answer

Define dependencies between tasks to ensure they execute in the correct order. The server will handle the logic for you.

Question 8

Can I attach notes to tasks?

Accepted Answer

Yes, you can attach notes to any task for additional context. This is useful for providing background information or instructions.

Question 9

Does TaskFlow MCP support user approval for tasks?

Accepted Answer

Yes, before a task proceeds, the server will prompt for user approval, ensuring that the user is always in control.

Question 10

How does TaskFlow MCP integrate with UBOS?

Accepted Answer

TaskFlow MCP can be integrated with UBOS to orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

Question 11

How can I contribute to TaskFlow MCP?

Accepted Answer

Fork the repository, create a new branch for your feature or fix, make your changes, and submit a pull request. Ensure that your code follows our coding standards and includes tests where applicable.

Question 12

Under what license is TaskFlow MCP released?

Accepted Answer

This project is licensed under the MIT License.

TaskFlow

Resources

Project Details

Recomended MCP Servers

Featured Templates

Service ERP

Multi-language AI Translator

Your Speaking Avatar

Image Generation with Stable Diffusion

Sarcastic AI Chat Bot

Pharmacy Admin Panel

Start your free trial