Every change Wellknown observed on this MCP server, newest first, with what it was before and what it became. Tool-surface changes carry the definition diff. Nothing here is edited after the fact.
Added "instance_ssh_keys"; changed the definition of "rent_gpu" (14 tools before, 15 now)
⟨126 unchanged words⟩ the account.","type":"string"},"ssh_key_ids":{"description":"Several saved keys by id (list_ssh_keys): every one of them can log in, for example the person's and a teammate's.","items":{"type":"string"},"maxItems":20,"type":"array"},"ssh_public_key":{"description":"Your SSH public key ⟨89 unchanged words⟩
SSH keys on a machine — List, add or take off the SSH keys that can log in to a running machine. With only instance_id: the keys on it (fingerprint, comment, the saved key's name). add_ssh_key_ids / add_public_keys: more keys can log in (a teammate's, a new laptop's), at once. remove_fingerprints: those keys can't log in any more (rotate a key: add the new one and remove the old one in one call); taking keys off takes up to half a minute, and at least one key must stay. Free: it changes no billing. Keys are never returned, only fingerprints.
Added "plan_deploy"; changed the definition of "rent_gpu" and "search_gpus" (13 tools before, 14 now)
Rent one machine found bysearch_gpus.search_gpus, for work you run yourself over SSH (training, fine-tuning, batch jobs). To serve a model, use plan_deploy then deploy_model instead: one call sets up the machine, the engine and an OpenAI-compatible endpoint. COSTS MONEY: price per GPU-hour x GPUs, ⟨160 unchanged words⟩
⟨18 unchanged words⟩ family, for example H100.","enum":["H100Vera Rubin","H200GB300
Certificate recorded, valid to 2027-04-28
Authorization not required
Unknown → Live
First tool surface recorded: 13 tools (server version 0.1.0)
https://arrakis.goodailabs.com/mcp (mcp_streamable_http) — from mcp_registry, with the record
Showing the latest 7 events. The API returns up to 500 and filters by kind: ?kind=tool_surface_changed
Plan a model deploy (free) — What serving a Hugging Face model takes, before anything is rented: the GPU memory it needs and the machines it fits on right now, best value first, each with its hourly price and a rough speed. Free; rents and changes nothing. Call it first whenever the person wants a model running (to chat with, call from code, generate images, video or speech, or run evals against), tell them the price, then deploy_model with the option's node_id and gpu_count.