← agentkernel.si

INDIVIDUAL MCP TOOL

cheaper_alternative

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

agentkernel.sinone authenticationAvailability not checked

LIVE ENDPOINT

https://www.agentkernel.si/mcp

No auth detected

Connect to this endpoint to inspect the live schema for cheaper_alternative and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

agentkernel.si

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.agentkernel]
url = "https://www.agentkernel.si/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "agentkernel": {
      "type": "http",
      "url": "https://www.agentkernel.si/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: agentkernel
Remote MCP URL: https://www.agentkernel.si/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "agentkernel": {
      "url": "https://www.agentkernel.si/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "agentkernel": {
      "type": "http",
      "url": "https://www.agentkernel.si/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "agentkernel",
  "transport": "streamable-http",
  "url": "https://www.agentkernel.si/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • best_for_task — Ranks AI models for one task by performance only (price shown, never used for the rank).
  • 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.
  • 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.
  • 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.
  • 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.