LLM Configurator
mcp remote · streamable-http · v1.0.0 · source: crawl
https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp
https://github.com/aikuba/LLMconfigurator.com
Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs.
Works
100
Verified Oct 31, 2026 · p50 710 ms · p95 744 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'llmconfigurator' |
| tools_listed | 15 | pass | 5 tools |
| schema_complete | 15 | pass | 5 of 5 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 710 ms |
| latency_p95 | 5 | pass | p95 744 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (5)
| Name | Description | Schema |
|---|---|---|
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 | typed |
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 ve | typed |
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 | typed |
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 | typed |
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, co | typed |
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[](https://app.agent-xm.com/a/io-github-aikuba-llmconfigurator)
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