Frequently Asked Questions (FAQ) about Taskmaster MCP

Q: What is Taskmaster MCP? A: Taskmaster MCP is a production-grade Model Context Protocol (MCP) server designed to provide intelligent task management for AI agents. It focuses on validation, environment scanning, and anti-hallucination capabilities, ensuring the accuracy and reliability of AI-generated content.

Q: How does Taskmaster MCP prevent AI hallucination? A: Taskmaster uses advanced validation techniques, including pluggable validation rules, evidence-based task completion, and support for syntax and content checking. These measures ensure that tasks are not marked as complete without proper validation, minimizing the risk of AI hallucination.

Q: What is the Single Gateway Tool Design in Taskmaster? A: Taskmaster operates around a single gateway tool, taskmaster, which offers a unified interface for all operations. This simplifies integration and ensures that all interactions with the Large Language Model (LLM) are controlled and validated through a single channel.

Q: How does Environment Scanning work in Taskmaster? A: Taskmaster includes a smart environment and capability scanner that asynchronously scans the environment upon session creation. It detects available development tools and system capabilities, caching the environment state for efficient reuse of information. This environmental awareness allows AI agents to adapt their behavior based on available resources.

Q: What are the key Session Management features in Taskmaster? A: Taskmaster provides complete lifecycle management for AI agent sessions, including session creation and archival, progress tracking, statistics, evidence storage, and session summaries. These features enable better monitoring, auditing, and optimization of AI agent activities.

Q: How can I install Taskmaster MCP? A: You can install Taskmaster by cloning the GitHub repository, navigating to the directory, and installing the required Python packages using pip. Detailed installation steps are provided in the documentation.

Q: Which AI assistants are compatible with Taskmaster MCP? A: Taskmaster is compatible with various AI assistants, including Cursor IDE, Claude Desktop, and Windsurf. Configuration instructions for each assistant are available in the documentation.

Q: What are the available commands in the Taskmaster tool? A: The Taskmaster tool offers commands for session management (e.g., create_session, end_session), task management (e.g., add_task, get_tasklist), validation system control (e.g., define_validation_criteria, mark_task_complete), and environment scanning (e.g., scan_environment, get_environment).

Q: Can I create custom validation rules and environment scanners in Taskmaster? A: Yes, Taskmaster allows you to create custom validation rules and environment scanners by extending the base classes provided in the taskmaster/validation_rules/ and taskmaster/scanners/ directories.

Q: How does Taskmaster integrate with UBOS? A: Taskmaster integrates seamlessly with the UBOS (Unified Business Orchestration System) platform, enhancing its capabilities as a full-stack AI Agent development platform. UBOS provides a centralized platform to manage and monitor Taskmaster instances, integrate data, develop custom AI Agents, and orchestrate Multi-Agent Systems.

Q: What is the purpose of the config.yaml file in Taskmaster? A: The config.yaml file allows for customization of various aspects of the server, including the state directory, scanner settings, and tools to check.

Q: How is Taskmaster deployed to Smithery.ai? A: Taskmaster is configured for automatic deployment to Smithery.ai using the Custom Deploy method. This involves pushing the code to GitHub, connecting the repository to Smithery, and deploying the server.

Q: What is the architecture of Taskmaster? A: Taskmaster’s architecture is built on the Command Pattern, State Management, Validation Engine, and Environment Scanner. This design ensures modularity, extensibility, and reliability.

Q: How does Taskmaster handle errors? A: The server provides comprehensive error handling, ensuring that invalid commands, missing parameters, and validation failures are handled gracefully, providing descriptive error messages to assist with troubleshooting.

Q: Is Taskmaster open-source? A: Yes, Taskmaster is licensed under the MIT License. You can find the license details in the LICENSE file in the repository.

Q: How can I contribute to Taskmaster? A: You can contribute to Taskmaster by forking the repository, creating a feature branch, adding tests for new functionality, ensuring all tests pass, and submitting a pull request.