Frequently Asked Questions about TaskMateAI

Q: What is TaskMateAI? A: 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.

Q: What is MCP? A: 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.

Q: What are the main features of TaskMateAI? A: 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.

Q: How do I install TaskMateAI? A: 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.

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

Q: Can I use TaskMateAI for project management? A: Yes, project managers can use TaskMateAI to break down projects into smaller tasks, assign responsibilities, and monitor progress.

Q: How does TaskMateAI integrate with AI agents? A: 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.

Q: How does TaskMateAI work with UBOS? A: When integrated with the UBOS platform, AI Agents can be automatically create, update, and complete tasks in TaskMateAI based on predefined rules and triggers.

Q: Where is the task data stored? A: Task data is stored securely using JSON files in a hierarchical structure.

Q: What MCP tools are available in TaskMateAI? A: 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.

Q: How do I specify an agent or project when using TaskMateAI? A: 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.