# AIblogly AI Models (remote · www.aiblogly.com)

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

- Trust score: 68/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-24

## Components

- remote · `www.aiblogly.com`: 68/100 (this document), [markdown](https://verifymcp.io/servers/com-aiblogly-models/www.md), [page](https://verifymcp.io/servers/com-aiblogly-models/www)

## Channel facts

- Endpoint: `https://www.aiblogly.com/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 2026-10-24.

- **Endpoint Security**: 63/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 4 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - 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**: 72/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 406 tokens (~101/item across 4 items; 4 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 13/100
  - Stability observed for 4 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% 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 4 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## 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.

### Claude

```bash
claude mcp add --transport http com-aiblogly-models 'https://www.aiblogly.com/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "com-aiblogly-models": {
      "url": "https://www.aiblogly.com/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "com-aiblogly-models": {
      "type": "http",
      "url": "https://www.aiblogly.com/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.com-aiblogly-models]
url = "https://www.aiblogly.com/mcp"
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add com-aiblogly-models --url 'https://www.aiblogly.com/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-aiblogly-models:
    url: "https://www.aiblogly.com/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "com-aiblogly-models": {
      "Transport": "http",
      "Url": "https://www.aiblogly.com/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add com-aiblogly-models -t streamable-http -u 'https://www.aiblogly.com/mcp'
```

### Other

```json
{
  "mcpServers": {
    "com-aiblogly-models": {
      "type": "http",
      "url": "https://www.aiblogly.com/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.

### 2026-10-23 (score 68, +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.

### 2026-10-21 (score 67, +1)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-20 (score 66)

First indexed and scored.

## MCP tools (4)

### `search_models` (~130 tokens)

Search AI models

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.

Input parameters:

- `category` (string): Optional. "Coding" holds the text/LLM models.
- `limit` (number): Maximum results, 1-25. Default 10.
- `query` (string): Words to match in the model name, vendor or slug, e.g. "claude", "gemini flash", "Mistral".

### `get_model` (~95 tokens)

Get one AI model

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.

Input parameters:

- `model` (string, required): Model name or aiblogly slug, e.g. "Claude Haiku 5.5" or "claude-haiku-5-5".

### `compare_models` (~65 tokens)

Compare two AI models

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

Input parameters:

- `a` (string, required): First model name or slug.
- `b` (string, required): Second model name or slug.

### `top_models` (~71 tokens)

Top models by LMArena Elo

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

Input parameters:

- `category` (string): Default "Coding" (text models).
- `limit` (number): 1-25. Default 10.

## Diagnostics

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

## Score history

- 2026-10-24: 68
- 2026-10-23: 68
- 2026-10-22: 67
- 2026-10-21: 67
- 2026-10-20: 66

## 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.

## Links

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