No user-submitted related servers found.
Scored across 15 tools
Each tool targets a distinct resource or lifecycle action: GPUs/apps discovery, machine launch/list/get/extend/stop/keep-running, endpoints, projects, usage, receipts, and identity. The potentially closest pair, extend_machine and set_keep_running, is clearly separated by one-off time extension versus automatic renewal, with both having explicit confirmation semantics.
Nearly all tools follow a snake_case verb_noun pattern such as list_machines, get_machine, launch_machine, stop_machine, create_endpoint, and get_endpoint_key. whoami is the lone conventional outlier, and set_keep_running is slightly more phrasal, but the naming remains predictable overall.
Fifteen tools fit the server's scope well: discovery, machine lifecycle, spending, projects, endpoints, and identity each contribute a small set of operations. No obvious redundant tools inflate the surface, and the set stays within a manageable range.
Core GPU machine workflows are well covered: discovering GPUs/apps, launching, inspecting, extending, stopping, and checking costs. However, projects expose only list_projects with no create/get/delete lifecycle, and endpoints expose create/list/get-key but no delete or revoke operation, leaving notable dead ends for resource management.
