Agent Task Decomposition Engine MCP Connector for Claude
A+Break complex goals into structured subtasks with deterministic complexity scoring.
This MCP server provides precise tools for breaking down high-level objectives into actionable hierarchies. Use decompose_task to generate a structured tree of subtasks, analyze_complexity to calculate metrics like parallelism potential and optimal subtask counts, and validate_dependencies to detect circular references. It is designed to help AI agents plan effectively by quantifying task difficulty and ensuring logical task flow.
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