LLM Configurator

Name: LLM Configurator
Author: aikuba

MCP serverMCP

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

by aikubarepository ↗homepage ↗v1.0.0

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Observed by Wellknown

Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability21/21 checks ok

when	check	result	http	latency	detail
5 h ago	mcp initialize	ok	200	161 ms	server llmconfigurator 1.0.0 · protocol 2025-06-18 · 5 tools
12 h ago	mcp initialize	ok	200	218 ms	server llmconfigurator 1.0.0 · protocol 2025-06-18 · 5 tools
19 h ago	mcp initialize	ok	200	186 ms	server llmconfigurator 1.0.0 · protocol 2025-06-18 · 5 tools
26 h ago	mcp initialize	ok	200	173 ms	server llmconfigurator 1.0.0 · protocol 2025-06-18 · 5 tools
33 h ago	mcp initialize	ok	200	251 ms	server llmconfigurator 1.0.0 · protocol 2025-06-18 · 5 tools
2 d ago	mcp initialize	ok	200	229 ms	server llmconfigurator 1.0.0 · protocol 2025-06-18 · 5 tools
2 d ago	mcp initialize	ok	200	159 ms	server llmconfigurator 1.0.0 · protocol 2025-06-18 · 5 tools
2 d ago	mcp initialize	ok	200	192 ms	server llmconfigurator 1.0.0 · protocol 2025-06-18 · 5 tools
2 d ago	mcp initialize	ok	200	207 ms	server llmconfigurator 1.0.0 · protocol 2025-06-18 · 5 tools
3 d ago	mcp initialize	ok	200	195 ms	server llmconfigurator 1.0.0 · protocol 2025-06-18 · 5 tools

Tools observed via MCP handshake

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 ca
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
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 mach
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
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 para

Declared by sources

What the publisher says

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No long description beyond the summary.

kind Official MCP Registry

name Official MCP Registry

repoUrl Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

homepageUrl Official MCP Registry

publisherName Official MCP Registry

Provenance

Where this record came from

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Official MCP Registryio.github.aikuba/llmconfigurator

first seen 6 d ago · fetched 3 d agoopen ↗

Field history (7 recent events)

6 d ago · declared · summary → "Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs."
6 d ago · declared · description → "Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs."
6 d ago · declared · publisherName → "aikuba"
6 d ago · declared · homepageUrl → "https://llmconfigurator.com/en/mcp"
6 d ago · declared · repoUrl → "https://github.com/aikuba/LLMconfigurator.com"
6 d ago · declared · version → "1.0.0"
6 d ago · declared · protocols → ["mcp"]

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Evidence

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