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 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.
MCP server for task management, project knowledge, workspace trust, runner sandboxes, extension registry, and workflow prompts, enabling AI agents to manage tasks and collaborate locally.