Implements a Model Context Protocol server for intelligent end-to-end requirement management and development automation, integrating with Feishu project systems.
A specialized Model Context Protocol server that enables AI systems to generate detailed, well-structured product requirement documents through a standardized interface.
Enables interaction with the Doorstop requirements management framework, allowing users to create, edit, link, and review requirement items and documents through natural language commands.
Assists AI developers with intelligent requirement analysis and architecture design through guided clarification questions, branch-aware management, and automated architecture generation with persistent storage.
Transforms high-level business intents into structured Data Product Requirement Prompts through AI-powered conversational refinement. Guides users through clarifying questions to gather comprehensive requirements for automated Business Intelligence dashboard generation.
An intelligent task management server that generates context-aware engineering plans using LLM-powered workflows and interactive requirement elicitation. It features persistent SQLite storage, category-based planning strategies, and automated progress tracking for software development projects.