# readygpu: hardware for local AI (remote · readygpu.com)

Live UK, Germany, Canada and US prices for GPUs and Macs that run open AI models. No sign-up.

- Trust score: 74/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `readygpu.com`: 74/100 (this document), [markdown](https://verifymcp.io/servers/com-readygpu-readygpu/api-mcp.md), [page](https://verifymcp.io/servers/com-readygpu-readygpu/api-mcp)

## Channel facts

- Endpoint: `https://readygpu.com/api/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 61/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 1042 tokens (~173/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 30/100
  - Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 90/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 70% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the readygpu: hardware for local AI MCP server?

readygpu: hardware for local AI is a hosted endpoint at https://readygpu.com/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http com-readygpu-readygpu 'https://readygpu.com/api/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "com-readygpu-readygpu": {
      "url": "https://readygpu.com/api/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "com-readygpu-readygpu": {
      "type": "http",
      "url": "https://readygpu.com/api/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.com-readygpu-readygpu]
url = "https://readygpu.com/api/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-readygpu-readygpu": {
      "type": "remote",
      "url": "https://readygpu.com/api/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-readygpu-readygpu --url 'https://readygpu.com/api/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-readygpu-readygpu:
    url: "https://readygpu.com/api/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "com-readygpu-readygpu": {
      "Transport": "http",
      "Url": "https://readygpu.com/api/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add com-readygpu-readygpu -t streamable-http -u 'https://readygpu.com/api/mcp'
```

### Other

```json
{
  "mcpServers": {
    "com-readygpu-readygpu": {
      "type": "http",
      "url": "https://readygpu.com/api/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-04 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-01 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-30 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-28 (score 71, +1)

- [security] The server rewrote its instructions, which are the text every model session reads
- [security] Tool “best_hardware” rewrote its description, which is the text the model reads
- [security] Tool “compare_hardware” rewrote its description, which is the text the model reads
- [security] Tool “find_hardware” rewrote its description, which is the text the model reads
- [security] Tool “hardware_details” rewrote its description, which is the text the model reads
- [security] Tool “hardware_for_model” rewrote its description, which is the text the model reads
- [functional improvement] Stability: unverified → 0.03
- [cosmetic] “best_hardware” reworded the description of “market”
- [cosmetic] “compare_hardware” reworded the description of “market”
- [cosmetic] “find_hardware” reworded the description of “market”
- [cosmetic] “hardware_details” reworded the description of “market”
- [cosmetic] “hardware_for_model” reworded the description of “market”
- [cosmetic] “find_hardware” dropped the optional parameter “max_price”

### 2026-10-27 (score 70)

First indexed and scored.

## MCP tools (6)

### `search_models` (~83 tokens)

Search open models

Find open-weight AI models by name or task (chat, coding, agentic, vision, reasoning). Returns each model's slug, size, context length and licence; use the slug with hardware_for_model.

Input parameters:

- `limit` (integer)
- `query` (string): Part of a model's name, e.g. qwen
- `task` (string)

### `find_hardware` (~181 tokens)

Find graphics cards or machines

List graphics cards or complete machines (Macs, mini PCs) sold in a market, with memory, bandwidth, the estimated speed on a model and a link to each one's page and prices. Filter by minimum memory and new or used; sort by speed or popularity.

Input parameters:

- `condition` (string)
- `context`: Context length in tokens: 8192, 32768, 65536 or 131072.
- `kind` (string)
- `limit` (integer)
- `market` (string): Which market's catalogue: us, uk, de (Germany and the rest of the EU) or ca (Canada).
- `min_memory_gb` (number)
- `model` (string): A model slug (from search_models) for the speed column; a reference model by default
- `sort` (string)

### `hardware_details` (~116 tokens)

Hardware details

One graphics card or machine in a market: its specifications, which models it runs fully in memory at a context length and how fast, and a link to its page and prices.

Input parameters:

- `context`: Context length in tokens: 8192, 32768, 65536 or 131072.
- `market` (string): Which market's catalogue: us, uk, de (Germany and the rest of the EU) or ca (Canada).
- `slug` (string, required): A card or machine slug, from find_hardware

### `hardware_for_model` (~133 tokens)

Hardware to run a model

For one model: how much memory it needs at each context length, and the fastest hardware (and the fastest Mac) that runs it fully in memory in a market, with their speeds. Links the model's page, which shows the cheapest and best-value picks with prices.

Input parameters:

- `context`: Context length in tokens: 8192, 32768, 65536 or 131072.
- `market` (string): Which market's catalogue: us, uk, de (Germany and the rest of the EU) or ca (Canada).
- `model` (string, required): A model slug, from search_models

### `best_hardware` (~257 tokens)

Best hardware lists

The ranked 'best for local AI' lists of a market (all graphics cards, cards under a price, used cards, Macs and mini PCs): best first by the most capable model each runs fully in memory. Prices are on each list's page.

Input parameters:

- `list` (string): Which list: us: gpus, gpus-under-300, gpus-under-500, gpus-under-1000, gpus-under-2000, used-gpus, machines; uk: gpus, gpus-under-300, gpus-under-500, gpus-under-1000, gpus-under-2000, used-gpus, mac…
- `market` (string): Which market's catalogue: us, uk, de (Germany and the rest of the EU) or ca (Canada).

### `compare_hardware` (~123 tokens)

Compare two

Two graphics cards or machines side by side in a market: memory, bandwidth, how many models each runs fully in memory, and the estimated speed of each on every model.

Input parameters:

- `a` (string, required): First card or machine slug
- `b` (string, required): Second card or machine slug
- `context`: Context length in tokens: 8192, 32768, 65536 or 131072.
- `market` (string): Which market's catalogue: us, uk, de (Germany and the rest of the EU) or ca (Canada).

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-readygpu-readygpu/api-mcp#diagnostics

## Score history

- 2026-11-05: 74
- 2026-11-04: 74
- 2026-11-03: 73
- 2026-11-02: 73
- 2026-11-01: 73
- 2026-10-31: 72
- 2026-10-30: 72
- 2026-10-29: 71
- 2026-10-28: 71
- 2026-10-27: 70

## Common questions

### What is the readygpu: hardware for local AI MCP server?

readygpu: hardware for local AI is an MCP server listed in the public MCP registry as com.readygpu/readygpu. Live UK, Germany, Canada and US prices for GPUs and Macs that run open AI models. No sign-up. This page covers its hosted endpoint (https://readygpu.com/api/mcp).

### Is the readygpu: hardware for local AI MCP server safe to use?

readygpu: hardware for local AI scores 74 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the readygpu: hardware for local AI MCP server expose?

readygpu: hardware for local AI exposes 6 tools: search_models, find_hardware, hardware_details, hardware_for_model, best_hardware, compare_hardware. Their descriptions and schemas cost roughly 893 tokens of context every time the server is loaded.

### Does the readygpu: hardware for local AI MCP server require authentication?

No. We connected to readygpu: hardware for local AI without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the readygpu: hardware for local AI MCP server still maintained?

readygpu: hardware for local AI is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://readygpu.com/api/mcp
- Website: https://readygpu.com/
- Changelog RSS feed: https://verifymcp.io/servers/com-readygpu-readygpu/api-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-readygpu-readygpu/api-mcp.json
- HTML version of this page: https://verifymcp.io/servers/com-readygpu-readygpu/api-mcp