# AgentKernel AI model data (remote · www.agentkernel.si)

Live prices, rankings, licences and privacy of AI models: best model per task, costs, alternatives.

- Trust score: 70/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-17

## Components

- remote · `www.agentkernel.si`: 70/100 (this document), [markdown](https://verifymcp.io/servers/si-agentkernel-models/www.md), [page](https://verifymcp.io/servers/si-agentkernel-models/www)

## Channel facts

- Endpoint: `https://www.agentkernel.si/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 2026-10-17.

- **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 (fair).
  - Tool/resource definitions use about 635 tokens (~105/item across 6 items; 6 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 10/100
  - Stability observed for 3 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 76/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 27% 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 AgentKernel AI model data MCP server?

AgentKernel AI model data is a hosted endpoint at https://www.agentkernel.si/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 si-agentkernel-models 'https://www.agentkernel.si/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "si-agentkernel-models": {
      "url": "https://www.agentkernel.si/mcp"
    }
  }
}
```

### VS Code

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

### Codex

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

### opencode

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

### OpenClaw

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

### Hermes

```yaml
mcp_servers:
  si-agentkernel-models:
    url: "https://www.agentkernel.si/mcp"
```

### Netclaw

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

### Vellum

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

### Other

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

### 2026-10-16 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-15 (score 69, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-14 (score 69)

First indexed and scored.

## MCP tools (6)

### `best_for_task` (~101 tokens)

Best AI models for a task

Ranks AI models for one task by performance only (price shown, never used for the rank). Tasks cover text, coding, agents, websites/UI/games/data viz, image generation and editing, video from text or image, video editing, text to speech, transcription, music and embeddings.

Input parameters:

- `license` (string): open = open weights only, closed = proprietary only
- `limit` (integer)
- `task` (string, required): Task slug

### `recommend_models` (~141 tokens)

Recommend models for a use case and budget

Returns the best-fitting language models for a use case and monthly API budget using the published AgentKernel Fit Score (performance, cost, context, features), with optional privacy and licence requirements.

Input parameters:

- `include_free` (boolean)
- `input_tokens` (integer): Input tokens per month
- `monthly_budget_usd` (number)
- `needs_vision` (boolean)
- `open_weights_only` (boolean)
- `output_tokens` (integer): Output tokens per month
- `priority` (string)
- `privacy` (string): zdr = zero data retention, eu = zero retention in an EU region
- `use_case` (string, required)

### `get_model` (~93 tokens)

Model facts

Price, context window, performance/coding/agentic index with rank, licence, privacy, cost for a usage volume and cheaper or open alternatives for one language model.

Input parameters:

- `input_tokens` (integer)
- `model` (string, required): Model id like "anthropic/claude-opus-5.5" or a name like "Claude Opus 5.5"
- `output_tokens` (integer)

### `find_models` (~82 tokens)

Search the model catalog

Searches and filters the catalog of language models by name, provider, licence and privacy, sorted by performance, coding, agentic index, price or context.

Input parameters:

- `license` (string)
- `limit` (integer)
- `privacy` (string)
- `query` (string): Part of a name, id or provider
- `sort` (string)

### `estimate_cost` (~56 tokens)

Estimate API cost

Monthly API cost at base rates for up to five models and a token volume, with the volume translated into words and pages.

Input parameters:

- `input_tokens` (integer)
- `models` (array, required)
- `output_tokens` (integer)

### `cheaper_alternative` (~55 tokens)

Find a cheaper alternative

For a model you use today, finds a cheaper model at most five performance-index points lower for the same usage.

Input parameters:

- `input_tokens` (integer)
- `model` (string, required)
- `output_tokens` (integer)

## Diagnostics

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

## Score history

- 2026-10-17: 70
- 2026-10-16: 70
- 2026-10-15: 69
- 2026-10-14: 69

## Common questions

### What is the AgentKernel AI model data MCP server?

AgentKernel AI model data is an MCP server listed in the public MCP registry as si.agentkernel/models. Live prices, rankings, licences and privacy of AI models: best model per task, costs, alternatives. This page covers its hosted endpoint (https://www.agentkernel.si/mcp).

### Is the AgentKernel AI model data MCP server safe to use?

AgentKernel AI model data scores 70 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 AgentKernel AI model data MCP server expose?

AgentKernel AI model data exposes 6 tools: best_for_task, recommend_models, get_model, find_models, estimate_cost, cheaper_alternative. Their descriptions and schemas cost roughly 528 tokens of context every time the server is loaded.

### Does the AgentKernel AI model data MCP server require authentication?

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

### Is the AgentKernel AI model data MCP server still maintained?

AgentKernel AI model data is still listed as active in the MCP registry. We last reached this channel on 17 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.agentkernel.si/mcp
- Website: https://www.agentkernel.si/mcp-server/
- Changelog RSS feed: https://verifymcp.io/servers/si-agentkernel-models/www.xml
- Changelog JSON feed: https://verifymcp.io/servers/si-agentkernel-models/www.json
- HTML version of this page: https://verifymcp.io/servers/si-agentkernel-models/www