FitLLM

Connect Remote server

claude mcp add --transport http fitllm https://fitllm.run/api/mcp

{
  "mcpServers": {
    "fitllm": {
      "url": "https://fitllm.run/api/mcp"
    }
  }
}

{
  "servers": {
    "fitllm": {
      "type": "http",
      "url": "https://fitllm.run/api/mcp"
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://fitllm.run/api/mcp

Tools 3 found in our last check

• 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 memory breakdown (weights, KV cache, linear-attention state when present, runtime overhead, reserve), max context, and a concrete fix if it…

• 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, biggest first, with max context each. Use when a user asks "what can I run on my <GPU/Mac/N GB>?", "best local model for my machine?", or give…

• 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 HuggingFace transformer configs can also be checked via fitllm.run; unsupported architectures are rejected.

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