Question 1

What is TaskMateAI?

Accepted Answer

TaskMateAI is an AI-powered task management application that uses the Model Context Protocol (MCP) to allow AI agents to autonomously manage and execute tasks.

Question 2

What is MCP?

Accepted Answer

MCP stands for Model Context Protocol. It's an open protocol that standardizes how applications provide context to LLMs, enabling AI models to access and interact with external data sources and tools.

Question 3

What are the main features of TaskMateAI?

Accepted Answer

TaskMateAI includes features like MCP integration, task and subtask management, priority-based task processing, progress tracking, note-taking, data persistence, multi-agent support, and project organization.

Question 4

How do I install TaskMateAI?

Accepted Answer

To install TaskMateAI, you need Python 3.12+, uv (Python package manager), and WSL (Windows Subsystem for Linux). Clone the repository, install dependencies using uv, and configure the MCP settings.

Question 5

Can I use TaskMateAI for personal use?

Accepted Answer

Yes, TaskMateAI is suitable for both personal and professional use. It can help individuals manage their to-do lists, track goals, and stay organized.

Question 6

Can I use TaskMateAI for project management?

Accepted Answer

Yes, project managers can use TaskMateAI to break down projects into smaller tasks, assign responsibilities, and monitor progress.

Question 7

How does TaskMateAI integrate with AI agents?

Accepted Answer

TaskMateAI integrates with AI agents through the Model Context Protocol (MCP). This allows AI agents to interact with and control the application, automating task execution and streamlining workflows.

Question 8

How does TaskMateAI work with UBOS?

Accepted Answer

When integrated with the UBOS platform, AI Agents can be automatically create, update, and complete tasks in TaskMateAI based on predefined rules and triggers.

Question 9

Where is the task data stored?

Accepted Answer

Task data is stored securely using JSON files in a hierarchical structure.

Question 10

What MCP tools are available in TaskMateAI?

Accepted Answer

TaskMateAI provides MCP tools such as `get_tasks`, `get_next_task`, `create_task`, `update_progress`, `complete_task`, `add_subtask`, `update_subtask`, `add_note`, `list_agents`, and `list_projects`.

Question 11

How do I specify an agent or project when using TaskMateAI?

Accepted Answer

You can specify an agent or project in the MCP configuration, through AI conversations, or by directly including the `agent_id` and `project_name` in the request parameters.

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