# aa-mcp

> aa-mcp — leev1s-aa-mcp. Use this tool when you need to access benchmark data, pricing, and performance metrics of large language models (LLMs) and multimodal models, or track model updates via structured diffs. It provides a structured interface for AI agents to query Artificial Analysis' public API, enabling informed decision-making and model selection. Ideal for use cases requiring up-to-date model information and comparison, such as model evaluation and integration workflows.

Canonical page: https://skillsregistry.net/skills/leev1s-aa-mcp  
JSON: https://api.skillsregistry.net/v1/skills/leev1s-aa-mcp

## Description

MCP server wrapping the Artificial Analysis public API. Enables AI agents to query LLM and multimodal model benchmarks, pricing, speed data, and track model updates via structured diffs.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/Leev1s/aa-mcp)

## 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": "leev1s-aa-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leev1s-aa-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leev1s-aa-mcp/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