KitScout

Categories › AI & Agents › Models, LLM APIs, routing, serving, training & GPUs

FitLLM

MCP serverVerified domain · fitllm.runRemote● LiveFree to try

Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.

Install

Remote server: your requests and data go to fitllm.run. Claude Code: claude mcp add --transport http fitllm https://fitllm.run/api/mcp · Claude app: Settings → Connectors → Add custom connector.

What it can do

The tools this server listed when we connected to it, in its own words.

  • check_llm_fit — Check whether a specific local LLM fits in the memory of a specific GPU or Apple Silicon Mac. Returns fits/tight/won't-fit verdict with the
  • what_fits_on_hardware — Rank which popular local LLMs fit on a given GPU or Apple Silicon Mac (at ~4-bit quantization, 8K context) — models that fit come first, big
  • list_supported — List the built-in model names and hardware names this fit-checker knows (for mapping user wording to exact names). Standard text-only Huggin

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

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