Async MCP server for running long-running AI tasks with real-time progress monitoring, enabling users to start, monitor, and manage complex AI workflows across multiple models.
Enables MCP clients to delegate tasks to multiple local and cloud AI workers (Codex, Claude Code, DeepSeek, GLM, Gemini) with deterministic routing, concurrent batch execution, idempotent retries, and auditable traces.
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.
MCP server for CreateWorker that lets you create and run tasks, manage knowledge, connect apps, and approve actions from AI assistants like Claude and Cursor.