# FitLLM

> FitLLM, an MCP server by fitllm.run, listed from the official MCP registry. Indexed, not reviewed: facts and our own checks, no score or ranking. Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.

- Canonical: https://www.anchorterminal.com/tools/fitllm
- Markdown: https://www.anchorterminal.com/tools/fitllm.md (~700 tokens)
- Slim: https://www.anchorterminal.com/tools/fitllm.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/tools/fitllm.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-04

# FitLLM

> Indexed, not reviewed: facts from the official MCP registry and our own checks. No score, grade or rank, and not in the rankings until the panel reviews it. How the index works: https://www.anchorterminal.com/indexed/

- Kind: MCP server, by fitllm.run (https://fitllm.run)
- Category: GPU & serverless compute (https://www.anchorterminal.com/categories/gpu-compute.md)
- Listed because: It's published in the registry under fitllm.run, a namespace the registry only gives to whoever proves they control that domain.
- What the official MCP registry says: Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.

## Facts

- MCP registry: `run.fitllm/fitllm` 1.1.0
- Endpoint: https://fitllm.run/api/mcp (streamable HTTP)
- Source: https://github.com/click6067-ship-it/fitllm-engine
- Website: https://fitllm.run
- GitHub stars: 8
- Registry entry updated: 2026-09-02

## Tools

- Tools it lists (3, about 957 tokens of context, `tools/list` without credentials over MCP 2025-11-25, checked 2026-10-04 22:25 UTC):
  - `check_llm_fit` (read-only): 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…
  - `what_fits_on_hardware` (read-only): 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…
  - `list_supported` (read-only): 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…
- How its tools read to an agent (0 errors, 0 warnings, 1 note, about 957 tokens; rules at https://www.anchorterminal.com/check.md; not part of the score):
  - note TC24 server: 3 of 3 tools have no outputSchema

- JSON: https://www.anchorterminal.com/api/v1/tools/fitllm.json
- Being indexed says nothing about quality, and nobody can pay for it. Ask for a review: https://www.anchorterminal.com/builders/#claiming