AgentKernel AI model data MCP Server

by agentkernel Your server? Claim it

answering

AgentKernel AI model data is answering right now. Last checked 2 min ago. It exposes 6 tools.

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

Uptime history 19 days of history · worst day 8%

19 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

200 ms

Response time

average over 24h

open, no key

Access

streamable-http

AgentKernel AI model data does not always answer

Over the last week it answered 66.6% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add models --transport http https://www.agentkernel.si/mcp

Settings → Connectors → Add custom connector, then paste this address

https://www.agentkernel.si/mcp

~/.codex/config.toml

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

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

best

best_for_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.

cheaper

cheaper_alternative

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

estimate

estimate_cost

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

model

get_model

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.

models

find_models

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

recommend

recommend_models

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.

Endpoints

URL	Transport	State	Latency	Checked
https://www.agentkernel.si/mcp	streamable-http	answering	284 ms	2 min ago

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AgentKernel AI model data — questions

Answers built from our own checks of this server.

What can AgentKernel AI model data do?

It exposes 6 tools, read directly from the server on our last check. Among them: best_for_task, cheaper_alternative, estimate_cost, find_models, get_model, recommend_models. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is AgentKernel AI model data working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 200 ms. The bar chart above shows every period we have measured.

How do I connect AgentKernel AI model data?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does AgentKernel AI model data need an API key?

No. AgentKernel AI model data completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is AgentKernel AI model data?

It answers our handshake in 200 ms on average, which is faster than 71% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.