ClaudeMap

Claude Task Master

PRD → tasks → subtasks task management for AI agents, with CLI and MCP server.

Plugins & Agentstask-managementplanningmcpprd

Task Master turns a PRD into a dependency-aware task graph that AI agents execute one task at a time: parse-prd generates tasks from a requirements doc, expand breaks them into subtasks, next surfaces the next unblocked task. Ships as a CLI and as an MCP server (task-master-ai) so Claude Code manages the loop directly. Note the Commons Clause license on top of MIT.

What it does

  • parse-prd turns a requirements document into a tagged, dependency-aware task list
  • expand breaks complex tasks into subtasks; update regenerates downstream tasks when scope changes
  • MCP server (task-master-ai) exposes the whole workflow to Claude Code
  • Works with multiple model providers; complexity analysis helps prioritize

When to use it

Long multi-session builds where asking Claude to do the feature loses the plot by message 40 — Task Master keeps scope, order, and dependencies outside the context window so sessions stay focused. Pair with git worktrees for parallel task execution.

Getting started

npm i -g task-master-ai
task-master init

Add as MCP server in .mcp.json:
{ "command": "npx", "args": ["-y", "--package", "task-master-ai", "task-master-ai"] }

Then: task-master parse-prd --input=prd.txt

Things to know

License is MIT + Commons Clause — free to use, but you can't sell it as a service. Requires at least one LLM provider API key; task quality inherits PRD quality, so weak PRDs produce confident but wrong tasks.

Repository

eyaltoledano/claude-task-master

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