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.
Available components
Last scanned (2 hours ago)
Scores higher than 62% of remote servers
Reachable. Last reached 5 Nov 2026.
Category AI and Machine Learning
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. How we score → Why this is hard to score →
Endpoint Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability61
- AI-judged instruction clarity (good).Pass
- 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. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management30
- Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage90
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 70% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Nov 26 +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.
- 1 Nov 26 +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.
- 30 Oct 26 +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.
- 28 Oct 26 +1
- 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 security
- Stability: unverified → 0.03 ▲ functional
- “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” cosmetic
- 27 Oct 26 70
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://readygpu.com/api/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=readygpu.com | CN=WE1,O=Google Trust Services,C=US | 9 Sept 2026 | 8 Dec 2026 | ECDSA 256 | ECDSA-SHA256 | dc2e9741535945b10e83cdbc00c767ae |
| SANs: readygpu.com, *.readygpu.com | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of readygpu.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| readygpu.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=15552000 |
| x-content-type-options | nosniff |
| x-frame-options | SAMEORIGIN |
| referrer-policy | no-referrer |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://readygpu.com/api/mcp | Verified | 200 | |
| http (plaintext) | http://readygpu.com/api/mcp | HTTPS enforced | 301 | https://readygpu.com/api/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
best_hardware Best hardware lists ~257
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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). |
No output schema declared.
No examples provided.
compare_hardware Compare two ~123
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.
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | First card or machine slug |
| b | string | yes | 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). |
No output schema declared.
No examples provided.
find_hardware Find graphics cards or machines ~181
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | – | – |
No output schema declared.
No examples provided.
hardware_details Hardware details ~116
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | yes | A card or machine slug, from find_hardware |
No output schema declared.
No examples provided.
hardware_for_model Hardware to run a model ~133
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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 | yes | A model slug, from search_models |
No output schema declared.
No examples provided.
search_models Search open models ~83
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.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| query | string | – | Part of a model's name, e.g. qwen |
| task | string | – | – |
No output schema declared.
No examples provided.
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.
remote · readygpu.com
claude mcp add --transport http com-readygpu-readygpu 'https://readygpu.com/api/mcp'
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.