Claude Task Master: AI Task Management for Claude Code

Claude Task Master is an open-source AI task-management system for AI-driven development: it parses a product requirements document into a structured task list, then feeds your coding agent one well-scoped task at a time. Built by Eyal Toledano and published as the npm package task-master-ai, it plugs into Claude Code, Cursor, Windsurf, and VS Code over MCP, and the eyaltoledano/claude-task-master repo has roughly 27,700 GitHub stars as of July 2026.

What Is Claude Task Master?

Claude Task Master is a task-management layer that sits between your project plan and your AI coding agent, described in its own README as "a task management system for AI-driven development, designed to work seamlessly with any AI chat." The core problem it attacks is scope drift: when you hand a coding agent a big goal in one prompt, it tends to wander, skip steps, or lose track of what is done across sessions.

Task Master fixes that by making the plan a first-class artifact. You write a PRD, and Task Master uses an AI model to break it into discrete tasks with dependencies, priorities, and test strategies. Tasks live as files in a .taskmaster/ directory in your repo, so state survives between sessions, branches, and even different editors. The project is MIT licensed with a Commons Clause, per the GitHub repository, meaning you can use and modify it freely but cannot resell it as a hosted service.

Two things distinguish it from a plain todo list. First, it is itself AI-powered: parsing a PRD, expanding a task into subtasks, and the task-master research command all call a model through your own API keys, with Anthropic, OpenAI, Google, Perplexity, xAI, OpenRouter, Mistral, Groq, Azure OpenAI, and Ollama supported as of July 2026. Second, it ships as an MCP server, so agents in Claude Code or Cursor can query and update tasks as tools rather than you copy-pasting task text. If MCP is new to you, start with our Claude Code MCP guide.

How to Install Task Master

Task Master installs from npm as task-master-ai (version 0.43.1 as of July 2026, per the npm registry), and the fastest path in Claude Code is one command from the official installation docs:

# Add Task Master to Claude Code as an MCP server
claude mcp add taskmaster-ai -- npx -y task-master-ai

# Optional: install the CLI globally for terminal use
npm install -g task-master-ai

For Cursor, Windsurf, or any JSON-configured MCP client, the README's config entry looks like this (include only the keys for providers you actually use):

{
  "mcpServers": {
    "task-master-ai": {
      "command": "npx",
      "args": ["-y", "task-master-ai"],
      "env": {
        "ANTHROPIC_API_KEY": "YOUR_KEY_HERE",
        "PERPLEXITY_API_KEY": "YOUR_KEY_HERE"
      }
    }
  }
}

At least one provider API key is required for the AI-powered operations, per the README. After the server is registered, initialize your project with task-master init in the terminal, or just ask your agent to "initialize taskmaster-ai in my project." Its listing in our directory, with source links and setup notes, is at claude-task-master.

The Task Master Workflow: PRD to Done

The Task Master workflow has three phases: write a PRD, parse it into tasks, then loop on the next available task until the list is empty. In practice it looks like this:

1. Write the PRD. Create your requirements document at .taskmaster/docs/prd.txt. The repo ships an example template, and the more specific the PRD, the better the generated tasks.
2. Parse it. Run task-master parse-prd, or tell your agent "Can you parse my PRD?" Task Master calls your configured model and produces numbered tasks with descriptions, dependencies, and test strategies.
3. Work the loop. task-master next surfaces the next task whose dependencies are complete. task-master show 3 prints full detail for task 3. Your agent implements it, marks it done, and the loop repeats.

Supporting commands round out the loop: task-master list for the full board, task-master research for fresh, context-aware answers via a research-capable model like Perplexity, and task-master move for reorganizing tasks between tags. Inside Claude Code you rarely type these directly; you say "what's the next task?" and the agent calls the MCP tools for you.

The payoff is consistency across sessions. Tomorrow's session reads the same task state today's session left behind, which is exactly what plain chat history cannot do.

Task Master vs Simpler Todo Approaches

Task Master is worth its setup cost when the project is bigger than one session; for anything smaller, simpler tools win. Here is the honest comparison:

A useful rule of thumb: if you can hold the whole plan in one prompt, you do not need Task Master. If you keep re-explaining project state to your agent every morning, you do.

Alternatives to Task Master

The main alternatives are lighter-weight conventions rather than direct clones, because Task Master's PRD-parsing niche is still unusual. Claude Code's own plan mode plus built-in todo tracking covers planning for bounded work with zero setup. Spec-driven workflows such as GitHub's Spec Kit approach the same problem from the specification side, generating plans and tasks from a spec without a persistent MCP task board. And plenty of teams simply keep a TASKS.md the agent reads at session start.

Task Master also composes with the rest of the ecosystem rather than replacing it. Pairing it with a documentation server like Context7 gives the agent both a task list and current library docs, and packaged setups from our Claude Code templates guide can wire up several of these tools at once. For reusable agent behaviors beyond task tracking, browse the skills directory.

Limitations and Tradeoffs

Task Master's biggest tradeoff is that it adds a second AI system, with its own API costs, to your workflow. Parsing a PRD, expanding tasks, and research calls all bill against your provider keys on top of what your coding agent already spends. Output quality also tracks input quality: a vague PRD produces vague tasks, so you are still on the hook for clear requirements.

Skip it when the work is small. For a bug fix or a single feature, initializing .taskmaster/, writing a PRD, and parsing it is more ceremony than the work itself, and Claude Code's built-in todo tracking will do fine. Note also the MIT license with Commons Clause: fine for internal and commercial use, but you cannot sell Task Master itself or offer it as a hosted service. Finally, it is a fast-moving community project rather than an Anthropic product; despite the "claude" in the repo name, it is not built or maintained by Anthropic, so pin versions if you depend on it in CI.

Related Guides

• Claude Code MCP: How to Add and Manage MCP Servers
• Sequential Thinking MCP Server: Setup and Honest Review
• Claude Code Templates: Best Starter Configs
• Claude Plugins: What They Are and How to Install Them