specly: AI Project Management Server
AI-powered project management server with workflow-based feedback control. Guides LLM IDE tools for verifiable task completion using TypeScript, Drizzle ORM, and MCP protocol.
Overview
A robust server implementation of the Model Context Protocol (MCP) designed for AI-powered project management.
Operational Intelligence
specly bridges the gap between AI agent capabilities and rigorous enterprise workflows. By implementing the Model Context Protocol (MCP), it allows distributed systems to securely interface with AI models.
Goal: Labor Efficiency & Waste Reduction
The core directive of this architecture is AI-driven operational optimization. By formalizing project management into state machines that AI agents can query and mutate, the system aims to reduce administrative overhead and standardize decision-making latency.
Technical Achievements
- Deterministic Workflows: Guaranteed state transitions for AI interaction.
- High-Concurrency Readiness: Stateless protocol design capable of serving multi-tenant demands without blocking the event loop.
- Auditability: Agent traces are logged to support governance-sensitive operational workflows.