FitMyLLM
▸ CLI & MCP

FitMyLLM in your terminal and IDE.

Full-featured TUI for the terminal. Query the same 449-model · 1,720-GPU database from Claude Code, Cursor, VS Code via the Model Context Protocol. One API key for both.

§ 01API KEY
FREE · 30 REQ/MIN

An API key is required to use the MCP server. Free, no limits beyond rate limiting.

▸ LOADING…
§ 03CLI TOOL
pip install fitmyllm

Full-featured terminal UI (Textual) for finding models, comparing GPUs, chatting. Same engine as the website.

▸ 01 · INSTALL
$pip install fitmyllm
▸ 02 · SETUP KEY
$export FITMYLLM_API_KEY=fml_your_key_here
▸ 03 · RUN
$fitmyllm
▸ FEATURES · 10
FIND MODELS
Auto-detect GPU, 11 filters, 30+ models ranked
FIND GPU
GPU recommendations with budget/speed/vendor filters
ENTERPRISE
10-tab analysis: risk, TCO, scaling, SLA, architecture
COMPARE
Side-by-side comparison of up to 4 models
INSTALL
Choose quant, pick engine, install with live progress
CHAT
Talk to models via Ollama with streaming + thinking blocks
TIER LIST
Models and GPUs ranked S-F with cloud alternatives
BENCHMARKS
Leaderboard sortable by 8 benchmark metrics
GPU PRICES
Search and compare GPU pricing
CHARTS
ASCII Score/Speed/VRAM charts + scatter plot
▸ KEYBOARD SHORTCUTS
fToggle filters
gSearch/change GPU
SpaceMark for compare
cCompare / Chat
iInstall model
tCommand simulator
sSave model
rHuggingFace README
eExport as Markdown
vASCII charts
Ctrl+SSave filters
Ctrl+TToggle thinking
EscGo back
qQuit
§ 04MCP TOOLS
5 TOOLS
recommend_models

Find the best models for a specific GPU

"What models can I run on my RTX 4060?"

search_models

Search 449 open-source LLM models

"Search for Qwen 3.5 models"

search_gpus

Search 1700+ GPUs by name

"Find specs for RTX 5090"

get_model_details

Full model details: benchmarks, VRAM, quantizations

"Show me details for Llama 3.1 8B"

compare_models

Compare 2-4 models side by side

"Compare Qwen 3.5 27B vs Llama 3.1 70B"

§ 05HOW IT WORKS

MCP (Model Context Protocol) lets AI assistants call external tools during a conversation.

  1. 01You add the FitMyLLM MCP server to your IDE (one-time setup)
  2. 02When you ask something like "What model fits my RTX 4060?", the AI calls our recommend_models tool
  3. 03Our server runs the same engine as the website and returns results
  4. 04The AI uses the data to answer your question

RATE LIMIT · 30 REQ/MIN · DATA UPDATED WEEKLY