An MCP server that enables asynchronous task submission and execution through a local worker daemon, decoupled from specific providers and models, with tasks continuing even after the client disconnects.
MCP server for RunComfy's Serverless API (ComfyUI) that enables managing deployments, running inference, and retrieving results from AI assistants like Claude and Cursor.
An MCP server that allows AI assistants to manage background processes, enabling start, stop, monitoring, and querying of long-running shell commands without blocking the conversation.
MCP server that enables running and managing file-based AI Skills, Agents, and Flow workflows as DAGs, with tools for listing, executing, and resuming tasks via stdio JSON-RPC.
Harness-agnostic MCP server for orchestrating deterministic, resumable multi-agent workflows. It lets you start, watch, resume, and cancel agent runs from any MCP client, using agents from Codex, Claude, Cursor, or Kimi.