MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
Nothing to run from here
LLM Configurator is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
5
tools declared
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trust score
remote
at its publisher
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calls last 7d
What it does
Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http llm-configurator-mcp https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp
# 2 — ask your agent for something these tools do
# search_catalog, check_hardware_fit, models_for_hardware and 2 more
LLM Configurator costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
AIAll 1 server
aikuba1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http llm-configurator-mcp https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
5 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Hardware or model name as the user wrote it, e.g. "4090", "m4 max 64", "llama 3.3 70b". |
| kind | string | yes | Search hardware or models. Required. |
| limit | integer | no | Maximum matches, 1 to 10. Default 5. |
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 all parameters, speed from active parameters. It does not recommend purchases and does not run anyt
| Parameter | Type | Required | Notes |
|---|---|---|---|
| hardware_id | string | yes | Hardware id from search_catalog. |
| model_id | string | yes | Model id from search_catalog. |
| quantisation | string | no | Weight quantisation. One of Q2_K, Q3_K_M, Q4_K_M, Q5_K_M, Q6_K, Q8_0, F16. Default Q4_K_M. |
| context_length | integer | no | Context window in tokens that the KV cache is sized for. 512 to 262144. Default 4096. |
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 one quantisation and context length per call, and leaves out models that do not fit.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| hardware_id | string | yes | Hardware id from search_catalog. |
| quantisation | string | no | Weight quantisation. One of Q2_K, Q3_K_M, Q4_K_M, Q5_K_M, Q6_K, Q8_0, F16. Default Q4_K_M. |
| context_length | integer | no | Context window in tokens that the KV cache is sized for. 512 to 262144. Default 4096. |
| use_case | string | no | Only list models tagged for this use. One of coding, chat, reasoning, agents, vision. Omit for all models. |
| limit | integer | no | Maximum models, 1 to 20. Default 10. |
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; use check_hardware_fit for that.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| hardware_ids | array | yes | Two to four hardware ids from search_catalog. |
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; use check_hardware_fit for that.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model_id | string | yes | Model id from search_catalog. |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install LLM Configurator or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
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no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish LLM Configurator can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.