Server providing Argo CD integration for MCP clients.
Nothing to run from here
FastGPU 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.
2
tools declared
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trust score
remote
at its publisher
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calls last 7d
What it does
Compare live GPU cloud rental prices and match workloads to the cheapest provider.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http fastgpu-mcp https://fastgpu.co/api/mcp
# 2 — ask your agent for something these tools do
# list_gpu_prices, match_workload
FastGPU costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
FAAll 1 server
fastgpu1 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 fastgpu-mcp https://fastgpu.co/api/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
2 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.
One entry per GPU model with its cheapest live on-demand cloud rental price in USD per GPU-hour, the provider offering it, and how many providers rent it, from FastGPU's live price feed across marketplaces, neoclouds and hyperscalers (RunPod, Vast.ai, Lambda, AWS and more). Use it to compare GPU rental prices or to find where a named GPU is cheapest to rent. Each price is the provider's own per-GP
| Parameter | Type | Required | Notes |
|---|---|---|---|
| vendor | string | no | Filter by GPU vendor. |
| tier | string | no | Filter by tier. |
Describe a job (an open-weight model to serve or fine-tune, a model size, or a GPU need) and get up to eight ranked GPU configurations that can run it at the lowest live price, each with the GPU count, the effective USD per hour for the whole configuration, and a one-line reason; the result also states the VRAM the job needs and, when a hyperscaler can run the same job, which one and what percent
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | Plain-language job, e.g. "cheapest to serve Llama 3 70B", "2x H100 for fine-tuning" or "a GPU with 80GB of memory". Provide this OR a structured spec below. |
| model | string | no | Open model name to size against, e.g. "Llama 3 70B", "Qwen 72B", "Mixtral". |
| params_b | number | no | Model size in billions of parameters when no exact model is named. |
| weights_gb | number | no | Measured size of the weights as stored, in GB: the file you will load (for example a GGUF Q4_K_M build, which holds more bits per parameter than its nominal 4). Replaces parameters times bytes per par |
| vram_gb | integer | no | Rough VRAM the job needs, in GB, if you already know it. |
| task | string | no | What the job does. |
| precision | string | no | Numeric precision to size the model at. |
| gpu_count | integer | no | Exact positive GPU count. Overrides a count in query text. Returns no matches if no supported configuration fits; omit for automatic sizing. |
| min_gpu_memory_gb | integer | no | Memory each GPU card must have, in GB (e.g. 80 for 80GB-class cards such as the H100 or A100 80GB). Smaller cards are never returned. On its own it lists every card that size, cheapest first. |
| budget_usd_hr | number | no | Hard limit on the hourly price of the whole configuration, in USD. Configurations above it are not returned. |
| duration_hours | number | no | How long the job will run, in hours (fractions are fine). When sent, each match carries billed_hours and estimated_total_usd. |
| max_total_usd | number | no | Hard limit on estimated_total_usd, the GPU rental cost of the whole job, in USD. Needs duration_hours. Configurations above it are not returned. |
| max_quote_age_minutes | number | no | Hard limit on how old a price quote may be, in minutes. Configurations whose price was fetched from the provider longer ago are not returned. |
| region | string | no | Restrict to a data-residency region. |
| spot | string | no | Set true to include interruptible spot capacity for a cheaper rate. |
| reserved | string | no | Set true to include reserved / committed-term capacity for a lower rate. |
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 FastGPU 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 1.0.1.
1.0.1
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 FastGPU 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.