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GrabGPU

by com.grabgpu
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Server Details

Find where to rent a cloud GPU right now. find_gpu searches 22 providers for H100, H200, B200, B300, RTX 4090 and 70 more models, with the price per GPU hour and the stock each provider reported at the last daily check. Filter by model, node size and max price. Free, no key.

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Status
Healthy
Uptime
100.0% over 21 days
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL

TDQS

A4.3/5.0

Scored across 1 tool

Disambiguation5/5

With only a single tool, there is no possibility of confusing it with another; its purpose (finding rentable cloud GPUs) is unambiguous. No overlap or boundary issues can exist in a one-tool surface.

Naming Consistency5/5

The lone tool follows a clear verb_noun snake_case convention (find_gpu). With only one name there is no inconsistency, though the pattern cannot be stress-tested across multiple tools.

Tool Count3/5

A single tool is thin for a server framed as a GPU rental platform. It covers discovery only, leaving no room for filtering, detail lookup, or booking operations.

Completeness2/5

The surface only supports a read-only search; there is no way to filter by GPU model, region, or specs, no offer detail retrieval, and no rental/booking step (it delegates to an external rent_url). For a rental domain this leaves significant gaps an agent cannot work around.

Available Tools

1 tool
find_gpuFind a GPU to rentA
Read-onlyIdempotent
Inspect

Find cloud GPUs to rent now: price per GPU hour and the stock each provider reported at the last hourly check. Rentable offers come first, cheapest first. Each offer has a rent_url that opens the provider (some are referral links, same price for the buyer).

ParametersJSON Schema
NameRequiredDescriptionDefault
gpuNoGPU model, e.g. "H100", "B300", "RTX 4090". Omit for every model.
limitNoHow many offers, default 20, at most 100.
in_stockNoDefault true: only offers the provider reports in stock. false: also offers that are out of stock or have unknown stock, for a full market view.
min_gpusNoSmallest node size needed, e.g. 8 for an 8x node.
max_priceNoHighest USD per GPU hour.

Output Schema

ParametersJSON Schema
NameRequiredDescription
unitYes
offersYes
captured_atYesWhen the prices and stock were collected

TDQS

A4.5/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the annotations (readOnly, idempotent, non-destructive), the description discloses result ordering (rentable offers first, cheapest first), stock freshness semantics, and that some rent_url links are referrals at the same price. These are exactly the behavioral details an agent cannot infer from structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences that front-load purpose, then ordering, then the rent_url caveat. Every sentence carries information an agent would otherwise have to guess.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With a full output schema, complete parameter descriptions, and annotations covering the safety profile, the description fills the remaining gap (ordering, stock freshness, referral links). Nothing needed to invoke or interpret results is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all five parameters (gpu, limit, in_stock, min_gpus, max_price) are already documented in the schema. The description adds no parameter-level syntax or format detail, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Find) and resource (cloud GPUs to rent) and immediately clarifies the payload: price per GPU hour plus provider-reported stock. There are no siblings to differentiate from, and the scope (rentable GPUs) is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Context is clear — this is for renting GPUs right now — and the description flags that stock reflects the last hourly check, which tells the agent how fresh the data is. With no sibling tools there is no alternative to route to, but there is no explicit when-not guidance either.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • Changedfind_gpu1 field changed
      • changedInput schema / properties / in_stock / description
        Previous value: -"Only offers the provider reports in stock. Default true."New value: +"Default true: only offers the provider reports in stock. false: also offers that are out of stock or have unknown stock, for a full market view."
  2. 1 tool update
    • Changedfind_gpu7 fields changed
      • addedInput schema / properties / limit / maximum
        Added value: +100
      • addedInput schema / properties / limit / minimum
        Added value: +1
      • changedInput schema / properties / limit / type
        Previous value: -"number"New value: +"integer"
      • addedInput schema / properties / max_price / exclusiveMinimum
        Added value: +0
      • addedInput schema / properties / min_gpus / minimum
        Added value: +1
      • changedInput schema / properties / min_gpus / type
        Previous value: -"number"New value: +"integer"
      • changedOutput schema / (root)
        Previous value: -nullNew value: +{
+  "properties": {
+    "captured_at": {
+      "description": "When the prices and stock were collected",
+      "type": "string"
+    },
+    "offers": {
+      "items": {
+        "properties": {
+          "availability": {
+            "enum": [
+              "in_stock",
+              "unknown",
+              "out_of_stock"
+            ],
+            "type": "string"
+          },
+          "country": {
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "direct_url": {
+            "type": "string"
+          },
+          "gpu": {
+            "description": "GPU slug, e.g. \"nvidia-h100\"",
+            "type": "string"
+          },
+          "gpu_count_range": {
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "gpu_name": {
+            "type": "string"
+          },
+          "is_referral": {
+            "description": "rent_url ends in a referral link; the buyer pays the same price",
+            "type": "boolean"
+          },
+          "max_gpus": {
+            "description": "Largest node the provider offers",
+            "type": [
+              "number",
+              "null"
+            ]
+          },
+          "provider": {
+            "description": "Provider slug",
+            "type": "string"
+          },
+          "provider_name": {
+            "type": "string"
+          },
+          "rent_url": {
+            "description": "Link to give the buyer; counts the click, then opens the provider",
+            "type": "string"
+          },
+          "usd_per_gpu_hour": {
+            "type": [
+              "number",
+              "null"
+            ]
+          },
+          "vram_gb": {
+            "type": [
+              "number",
+              "null"
+            ]
+          }
+        },
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "unit": {
+      "type": "string"
+    }
+  },
+  "required": [
+    "captured_at",
+    "unit",
+    "offers"
+  ],
+  "type": "object"
+}
  3. 1 tool update
    • First observedfind_gpu

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