Pimzino/spec-workflow-mcp
Spec Workflow Mcp
This project is a Model Context Protocol server designed to manage structured software development workflows. It functions as a project management tool that enforces a sequential pipeline from requirements and design to implementation, ensuring that AI agents and developers follow a specific documentation and coding process.
The system differentiates itself through a state-machine workflow enforcement mechanism that blocks progress between development phases until specific validation criteria are met and mandatory human approvals are granted. It includes a structured documentation generator that uses predefined templates to produce consistent project specifications and requirements files.
The tool provides a real-time development progress dashboard to monitor specification statuses and task completion rates. Its broader capabilities include project task tracking, real-time file system synchronization to maintain analysis context, and the logging of implementation details and code statistics.
The server is restricted to the local machine using localhost binding, rate limiting, and cross-origin resource sharing restrictions to secure local API traffic.
Features
- Workflow Enforcement - Enforces a sequential development pipeline using stage-based approval sequences to ensure human oversight of AI agents.
- Development Workflow Enforcement - Enforces a sequential development pipeline using a state-machine to block progress until mandatory human approvals are granted.
- AI Agent Orchestrators - Coordinates AI agents using structured workflows and validation gates to ensure a consistent documentation and coding pipeline.
- Approval Workflows - Facilitates formal review processes for AI-generated documents by managing human-in-the-loop approval requests.
- Human Approval - Requires human review and approval of generated content before the project workflow can advance to the next phase.
- MCP Servers - Implements a Model Context Protocol server to sync local project files and workflow states with AI tools.
- Project Task Management - Includes a project management system to track the status and progress of development tasks.
- Task State Tracking - Maintains a durable record of task statuses and implementation logs to monitor project progress across sessions.
- Real-time Data Synchronization - Synchronizes local project files in real-time to provide AI agents with an up-to-date analysis context.
- Project Management Tools - Tracks development tasks and project progress by synchronizing context with LLMs via the Model Context Protocol.
- Development Workflow Managers - Manages a sequential development process from requirements to implementation, ensuring alignment through structured phase management.
- File System Monitors - Monitors local project directories in real-time to keep the analysis context synchronized with the current file system state.
- Document Generation Templates - Uses standardized templates to populate project requirements and design specifications with generated content.
- Documentation Generators - Automates the creation of structured requirements and design documentation using predefined templates.
- Template-Driven Generators - Generates consistent project requirements and design files using predefined markdown templates for LLM workflows.
- Project Task Progress Monitoring - Tracks the implementation phase by monitoring task progress and logging code statistics within the workflow.
- Technical Documentation - Creates and maintains project specifications using templates and tracks their status through formal review processes.
- Real-Time Monitoring Dashboards - Provides a real-time web interface for monitoring specification statuses and task completion rates.
- Workflow Status Dashboards - Ships a real-time web dashboard for reviewing generated content and tracking overall project status.
