AI Pricing Hub
REMOTE · AIPRICINGHUB.COM
Source-backed AI model pricing, rankings, history, and benchmark data.
Available components
Last scanned (18 hours ago)
Scores higher than 89% of remote servers
Reachable. Last reached 4 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 Security74
- 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
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- 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 Usability80
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 943 tokens (~41/item across 23 items; 11 tools + 12 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management97
- Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 11 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
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 0
- Stability: pass → 0.97 functional
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 26 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Aug 26 0
- Stability: 0.97 → pass security
- 11 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 31 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
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 4 Nov 2026 · Probed https://aipricinghub.com/mcp/rpc
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=aipricinghub.com | CN=WE1,O=Google Trust Services,C=US | 8 Oct 2026 | 6 Jan 2027 | ECDSA 256 | ECDSA-SHA256 | 7fc6b1798c61dcfe0edbb5da04522e5e |
| SANs: aipricinghub.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 aipricinghub.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| aipricinghub.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 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://aipricinghub.com/mcp/rpc | Verified | 200 | |
| http (plaintext) | http://aipricinghub.com/mcp/rpc | HTTPS enforced | 301 | https://aipricinghub.com/mcp/rpc |
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 →
benchmark_lookup Benchmark lookup ~85
Find sourced benchmark rows by model, provider, or benchmark ID.
| Name | Type | Req | Description |
|---|---|---|---|
| benchmark_id | string|number|array | – | benchmark id |
| cursor | string|number|array | – | cursor |
| limit | string|number|array | – | limit |
| model_id | string|number|array | – | model id |
| provider | string|number|array | – | provider |
Structured output declared, but exposes no named fields.
No examples provided.
calculate_cost Calculate cost ~117
Estimate cost from total input tokens, their cached subset, output tokens and request count. Optional batch_mode uses available batch rates with standard-rate fallback.
| Name | Type | Req | Description |
|---|---|---|---|
| batch_mode | boolean | – | batch mode |
| cached_input_tokens | string|number|array | – | cached input tokens |
| input_tokens | string|number|array | – | input tokens |
| model_id | string|number|array | – | model id |
| output_tokens | string|number|array | – | output tokens |
| requests | string|number|array | – | requests |
Structured output declared, but exposes no named fields.
No examples provided.
compare_models Compare models ~34
Compare pricing, context, and sourced benchmarks for model IDs.
| Name | Type | Req | Description |
|---|---|---|---|
| model_ids | string|number|array | – | model ids |
Structured output declared, but exposes no named fields.
No examples provided.
find_best_value Find best value ~70
Rank models by available benchmark signal per listed token price.
| Name | Type | Req | Description |
|---|---|---|---|
| benchmark_id | string|number|array | – | benchmark id |
| cursor | string|number|array | – | cursor |
| limit | string|number|array | – | limit |
| provider | string|number|array | – | provider |
Structured output declared, but exposes no named fields.
No examples provided.
find_cheapest Find cheapest ~69
Find cheapest models by combined listed input plus output token price.
| Name | Type | Req | Description |
|---|---|---|---|
| cursor | string|number|array | – | cursor |
| limit | string|number|array | – | limit |
| provider | string|number|array | – | provider |
| workload | string|number|array | – | workload |
Structured output declared, but exposes no named fields.
No examples provided.
latest_changes Latest changes ~68
Return recent model launches, removals, and pricing changes.
| Name | Type | Req | Description |
|---|---|---|---|
| cursor | string|number|array | – | cursor |
| limit | string|number|array | – | limit |
| provider | string|number|array | – | provider |
| type | string|number|array | – | type |
Structured output declared, but exposes no named fields.
No examples provided.
pricing_history Pricing history ~31
Return historical pricing snapshots for a model ID.
| Name | Type | Req | Description |
|---|---|---|---|
| model_id | string|number|array | – | model id |
Structured output declared, but exposes no named fields.
No examples provided.
provider_summary Provider summary ~36
Summarize model count, prices, benchmarks, and changes for a provider.
| Name | Type | Req | Description |
|---|---|---|---|
| provider | string|number|array | – | provider |
Structured output declared, but exposes no named fields.
No examples provided.
recommend_model Recommend model ~86
Recommend models for a workload using price, context, and benchmark evidence.
| Name | Type | Req | Description |
|---|---|---|---|
| budget | string|number|array | – | budget |
| limit | string|number|array | – | limit |
| min_context_tokens | string|number|array | – | min context tokens |
| provider | string|number|array | – | provider |
| workload | string|number|array | – | workload |
Structured output declared, but exposes no named fields.
No examples provided.
search_models Search models ~116
Search the pricing catalog with provider, workload, context, and price filters.
| Name | Type | Req | Description |
|---|---|---|---|
| cursor | string|number|array | – | cursor |
| limit | string|number|array | – | limit |
| max_combined_price | string|number|array | – | max combined price |
| min_context_tokens | string|number|array | – | min context tokens |
| provider | string|number|array | – | provider |
| query | string|number|array | – | query |
| workload | string|number|array | – | workload |
Structured output declared, but exposes no named fields.
No examples provided.
search_news Search news ~75
Search AI Pricing Hub news items.
| Name | Type | Req | Description |
|---|---|---|---|
| cursor | string|number|array | – | cursor |
| language | string|number|array | – | language |
| limit | string|number|array | – | limit |
| query | string|number|array | – | query |
| source | string|number|array | – | source |
Structured output declared, but exposes no named fields.
No examples provided.
How do I install the AI Pricing Hub MCP server?
AI Pricing Hub is a hosted endpoint at https://aipricinghub.com/mcp/rpc, 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 · aipricinghub.com
claude mcp add --transport http gishh-aipricinghub 'https://aipricinghub.com/mcp/rpc'
What is the AI Pricing Hub MCP server?
AI Pricing Hub is an MCP server listed in the public MCP registry as io.github.gishh/aipricinghub. Source-backed AI model pricing, rankings, history, and benchmark data. This page covers its hosted endpoint (https://aipricinghub.com/mcp/rpc).
Is the AI Pricing Hub MCP server safe to use?
AI Pricing Hub scores 84 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 AI Pricing Hub MCP server expose?
AI Pricing Hub exposes 11 tools: search_models, compare_models, calculate_cost, find_cheapest, find_best_value, and 6 more. Their descriptions and schemas cost roughly 787 tokens of context every time the server is loaded.
Does the AI Pricing Hub MCP server require authentication?
No. We connected to AI Pricing Hub without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the AI Pricing Hub MCP server still maintained?
AI Pricing Hub is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.