Mmcp.market

FitLLM MCP server

by fitllm.run·run.fitllm/fitllm·v1.1.0
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Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.

A89/100grade A
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Safety scan
A89/100

full report

Adoption
Growing

8 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

FitLLM tools (3)

write = sends, deletes, buys or posts
  • check_llm_fitFree

    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 doesn't fit. Use this whenever a user asks anything like "can I run <model> on my <GPU/Mac>?", "will <model> fit in <N>GB?", or "what do I need to run <model>?". Estimates using curated, config-derived architecture fields (MLA, sliding-window, hybrid attention, MoE modeled).

  • list_supportedFree

    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.

  • what_fits_on_hardwareFree

    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 gives hardware without naming a model.

Public scan report

scanner v0.1.9 · 2026-09-20 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 447ms20/20
  • Tool poisoning3 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 6 days ago15/15
  • Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace7/10
Overall 89/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install directly

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

FitLLM: common questions

Is FitLLM MCP server safe?
Yes, by our scan: it is graded A (89/100). Read the FitLLM safety report
How do I install FitLLM?
It runs remotely at fitllm.run. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
Does FitLLM need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is FitLLM maintained?
The last commit was 7 days ago (2026-09-14). The latest release is v1.1.0.
Is FitLLM up?
100% of our last 5 checks got an answer. We check remote servers about four times a day.
What can I use instead of FitLLM?
Servers from other publishers that do the same job: KLYPIX Project Brain MCP server, Ask Grok MCP server and Amicus MCP server. Compare all FitLLM alternatives.

Alternatives to FitLLM

Same job from other publishers: the closest match first, then the best rated.

All FitLLM alternatives →
  • KLYPIX Project Brain
    Active state management for multi-agent coding: a shared, versioned project brain over MCP.
    B
  • Ask Grok
    Consult Grok through xAI's metered API with exact model selection and no fallback
    B
  • Amicus
    Multi-model LLM Council and parallel AI window for Claude Code. Fork any model, fold results back.
    C
  • EthersFlow — Trust Gate for AI Agents
    Trust gate for AI agents: multi-model adversarial consensus, signed and verifiable verdicts.
    A
FitLLM vs KLYPIX Project BrainFitLLM vs Ask GrokFitLLM vs Amicus

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