Enables MCP chat clients to read explicitly shared local source files and search results without spending local model quota, while also providing an experimental quota-relay workflow for extended modes.
This MCP server enables asynchronous, event-driven orchestration of long-running AI coding agents, allowing a leader session to dispatch jobs that execute in the background, survive disconnects, and provide queryable status and resumability without blocking model turns.