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AIblogly AI Models

REMOTE · WWW.AIBLOGLY.COM

AI model facts from aiblogly.com: vendor API prices, context windows, licences, LMArena ranks.

Available components

68 Trust /100

Last scanned (9 minutes ago)

Scores higher than 57% of remote servers

Reachable. Last reached 24 Oct 2026.

Category AI and Machine Learning

Trust breakdown (7 categories)

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 Security63
Transport & Reachability100
Schema Quality & AI Usability72
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 406 tokens (~101/item across 4 items; 4 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management13
  • Stability observed for 4 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
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

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.

  • 23 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.

  • 21 Oct 26 +1
    • Stability: unverified → 0.03 ▲ functional
  • 20 Oct 26 66

    First indexed and scored.

Diagnostics

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 24 Oct 2026 · Probed https://www.aiblogly.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=www.aiblogly.com CN=YR2,O=Let's Encrypt,C=US 7 Oct 2026 5 Jan 2027 RSA 2048 SHA256-RSA 5942b3398107b5b304d9d6b091a2e5bb0d7
SANs: www.aiblogly.com
CN=YR2,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA 4ebd24947e24d394802d84a52fd5b319
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of www.aiblogly.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
aiblogly.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=63072000; includeSubDomains
content-security-policy default-src 'self'; script-src 'self' 'unsafe-inline' https://www.googletagmanager.com; style-src 'self' 'unsafe-inline'; worker-src 'self' blob:; img-src 'self' data: https://*.google-analytics.com https://*.analytics.google.com https://*.googletagmanager.com; font-src 'self'; connect-src 'self' https://*.google-analytics.com https://*.analytics.google.com https://*.googletagmanager.com; frame-ancestors 'self'; base-uri 'self'; form-action 'self'; object-src 'none'
x-content-type-options nosniff
x-frame-options SAMEORIGIN
referrer-policy strict-origin-when-cross-origin
permissions-policy camera=(), microphone=(), geolocation=(), payment=(), usb=(), magnetometer=(), gyroscope=(), accelerometer=(), interest-cohort=()

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://www.aiblogly.com/mcp Verified 200
http (plaintext) http://www.aiblogly.com/mcp HTTPS enforced 308 https://www.aiblogly.com/mcp
MCP tools · 4 exposed · ~361 tokens

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 →

Tool Tokens
compare_models ~65

Side-by-side facts for two models (price, context window, release date, licence, LMArena rank) and the aiblogly comparison page URL.

NameTypeReqDescription
astringyesFirst model name or slug.
bstringyesSecond model name or slug.

No output schema declared.

No examples provided.

get_model ~95

All published facts for one model: vendor price with its conditions, context window, release date, licence, status (retired/deprecated), LMArena rank, vendor source and the date it was checked, plus a one-paragraph summary.

NameTypeReqDescription
modelstringyesModel name or aiblogly slug, e.g. "Claude Haiku 5.5" or "claude-haiku-5-5".

No output schema declared.

No examples provided.

search_models ~130

Find published AI models on aiblogly.com by name, vendor or category. Returns price per 1M tokens, context window, release date, licence, status and current LMArena rank, each with the model page URL to cite.

NameTypeReqDescription
categorystring–Optional. "Coding" holds the text/LLM models.
limitnumber–Maximum results, 1-25. Default 10.
querystring–Words to match in the model name, vendor or slug, e.g. "claude", "gemini flash", "Mistral".

No output schema declared.

No examples provided.

top_models ~71

The highest-rated models in a category by current LMArena Elo (ranks older than 14 days are excluded), with links to the aiblogly rankings.

NameTypeReqDescription
categorystring–Default "Coding" (text models).
limitnumber–1-25. Default 10.

No output schema declared.

No examples provided.

Install

How do I install the AIblogly AI Models MCP server?

AIblogly AI Models is a hosted endpoint at https://www.aiblogly.com/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 · www.aiblogly.com

# add to Claude Code
claude mcp add --transport http com-aiblogly-models 'https://www.aiblogly.com/mcp'
Common questions

What is the AIblogly AI Models MCP server?

AIblogly AI Models is an MCP server listed in the public MCP registry as com.aiblogly/models. AI model facts from aiblogly.com: vendor API prices, context windows, licences, LMArena ranks. This page covers its hosted endpoint (https://www.aiblogly.com/mcp).

Is the AIblogly AI Models MCP server safe to use?

AIblogly AI Models scores 68 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 AIblogly AI Models MCP server expose?

AIblogly AI Models exposes 4 tools: search_models, get_model, compare_models, top_models. Their descriptions and schemas cost roughly 361 tokens of context every time the server is loaded.

Does the AIblogly AI Models MCP server require authentication?

No. We connected to AIblogly AI Models without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the AIblogly AI Models MCP server still maintained?

AIblogly AI Models is still listed as active in the MCP registry. We last reached this channel on 24 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.