Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.
MCP server that initializes, manages, and operates traceable agentic infrastructure across your digital ecosystem, serving as a control plane to know project states, health, and initialize missing setups.
A local-first MCP control-plane core that gives AI agents persistent project context through workspace registration, reusable skill routing, and health guardians over stdio.
A durable MCP control plane for starting, observing, steering, continuing, cancelling, and handing off long-running coding agents, with bounded MCP calls and persistent worktrees.
MCP server that wraps the Picsellia Python SDK, giving AI assistants access to computer vision platform capabilities such as datasets, experiments, models, deployments, and monitoring.