spec-workflow-mcp: A Structured Approach to AI Software Development

Spec-workflow-mcp is a structured, MCP-compliant server designed to bring order to the development of autonomous agents, addressing complexities such as context drift and architectural incoherence by mirroring traditional SDLC practices in a tailored manner for AI-driven projects. Its architecture includes a repository structure featuring Node.js logic for core server operations, a VS Code extension for workflow oversight, and a .spec-workflow folder for orchestrating project states, with functionalities like semantic tooling and automated approvals ensuring disciplined progress. The implementation follows a 'Micro-Waterfall' framework that requires explicit human approval at each phase—requirements, design, tasks, and implementation—thereby reducing risks of deviation from the original project vision. The underlying Model Context Protocol (MCP) acts as a universal interface for AI agents, standardizing interactions with data sources and tools to minimize confusion and security risks. Deep observability is integrated to allow detailed tracing of decisions and actions, enhancing debugging, compliance, and performance analysis while enforcing strict security measures through human-in-the-loop designs and approval gates.