MCP serverio.github.aikuba/llmconfigurator

Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs.

UNRATEDActivestreamable-httpelgadmisijrfowuujcmu.supabase.co

Overview

Score?

UNRATED 0.143

of what a free look can see, on 1 looks

Looks

last 10 hr ago

Tools

More info

URL

elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp

streamable-http

Says it is

llmconfigurator 1.0.0

protocol 2025-06-18

In the record since

1 day ago

Among servers18,413 with a card

0median 0.606 · this server 0.143 · highest on record 0.8561

Toolsfrom sha256:e781c70a43…6bdd00

The tools this server lists, read out of the definition it returned
Tool	Schema
check_hardware_fit Use this when the user asks whether one specific model runs on one specific machine, at what memory cost, and roughly how fast. Needs a hardware id and a model id from search_catal	input · output
compare_hardware Use this when the user compares two to four machines. Needs hardware ids from search_catalog. Returns memory, bandwidth, memory type, release year, status and a dated price where o	input · output
get_model_specs Use this when the user asks about one model's size, architecture, context window or licence. Needs a model id from search_catalog. Returns total and active parameters, weight size	input · output
models_for_hardware Use this when the user asks what models a given machine can run. Needs a hardware id from search_catalog. Returns up to 20 catalogue models ranked for that machine, each with a fit	input · output
search_catalog Use this first when the user names a GPU, Mac, mini PC or language model and you need its id for the other tools. Matches names and common aliases in a fixed catalogue of local-LLM	input · output

Verify it yourselfnpx teppi-check https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M405J1NS0C4B6HKJ2B7C8WCA