# LLM Configurator

- Registry name: `io.github.aikuba/llmconfigurator` · version 1.0.0
- Categories (automatic, keyword rules): AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.aikuba%2Fllmconfigurator
- Server page: https://mcpstation.net/s/io.github.aikuba--llmconfigurator.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp`

## Tools (as reported by the server, not verified)

- `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 hardware and models. It does not return specs, fit or speed, and it does not search the web.
- `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\_catalog. Returns a fit verdict, the memory arithmetic, and a decode-speed range with a confidence label. Memory is sized from
- `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 verdict and a speed range, optionally filtered to one use such as coding. It covers only models in the catalogue, at on
- `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 one is recorded, side by side. A price of null means none is on record. It does not check any model against the machines;
- `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 per quantisation, context length, licence, release date and sources. It does not say whether the model fits any machine;

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html