# llm-benchmark-mcp-server

> llm-benchmark-mcp-server — aiagentkarl-llm-benchmark-mcp-server. Use this tool when you need to compare and benchmark large language models (LLMs) for optimal task performance and pricing. It solves problems of model selection and cost estimation by providing a comprehensive evaluation of LLMs. The tool accepts task specifications as input and outputs benchmarking results and pricing information to help users choose the best model for their needs.

Canonical page: https://skillsregistry.net/skills/aiagentkarl-llm-benchmark-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/aiagentkarl-llm-benchmark-mcp-server

## Description

MCP Server for LLM comparison, benchmarks, and pricing — find the best model for any task

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AiAgentKarl/llm-benchmark-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aiagentkarl-llm-benchmark-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aiagentkarl-llm-benchmark-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aiagentkarl-llm-benchmark-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt