Enables multiple AI coding agents to work concurrently on the same repository by coordinating task ownership, file locks, architectural decisions, investigation gaps, handoffs, and audit activity through a local SQLite-backed MCP interface.
Provides MCP tools for AI coding agents to coordinate on shared repositories, enabling task claiming, conflict detection, and plan management in real-time.
Centralized MCP server for spec-driven AI agent workflows, enabling isolated feature management, task tracking, and implementation with handoff and archiving capabilities across multiple projects and developers.
Enables coding agents to coordinate around shared project context, durable tasks, messages, artifacts, multimodal analysis requests, design-system checks, change proposals, and review requests through a compact MCP interface. It persists state locally in JSON and exposes tools, resources, and prompts for agent-to-agent workflows.