Artificial Analysis

Name: Artificial Analysis
Author: davidhariri

@davidhariri

Artificial Analysis について

I built this to give my AI assistants the latest information on model performance benchmarks provided by https://artificialanalysis.ai to make informed decisions on model choice.

#llms #performance #speed #cost #benchmark #analysis

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

davidhariri

投稿者

David Hariri

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "artificial-analysis": {
      "command": "npx",
      "args": [
        "-y",
        "artificial-analysis-mcp"
      ],
      "env": {
        "AA_API_KEY": "your-api-key"
      }
    }
  }
}

ツール

List all available LLM models from Artificial Analysis with pricing, speed, and benchmark data. Filter by creator (OpenAI, Anthropic, Google, etc.) and sort by price, speed, or benchmark scores.

Get detailed information about a specific LLM model including pricing (input/output/blended per 1M tokens), speed metrics (tokens/sec, TTFT), and benchmark scores (Intelligence Index, Coding Index, MMLU-Pro, GPQA, etc.).

概要

What is Artificial Analysis?

An MCP (Model Context Protocol) server that provides real-time LLM model pricing, speed metrics, and benchmark scores from Artificial Analysis. It is designed for developers and AI assistants like Claude to programmatically query and compare 300+ models.

How to use Artificial Analysis?

Install via npx with your API key set as the AA_API_KEY environment variable, or add the server to your Claude configuration file (settings.json). Use tools like list_models and get_model to fetch and filter model data by creator, metric, or benchmark.

Key features of Artificial Analysis

List and filter 300+ LLM models by creator and metric
Get real-time pricing (input/output/blended per 1M tokens)
Compare speed metrics (tokens/sec, time to first token)
Access benchmark scores (Intelligence Index, Coding Index, etc.)
Sort models by any metric (price, speed, benchmarks, release date)

Use cases of Artificial Analysis

Find the cheapest models with high intelligence scores
Compare speed of models from different providers
Check benchmark scores of a specific model like GPT-4o
Identify top 5 fastest models for a new project
Get detailed pricing and metrics for Claude 4.5 Sonnet

FAQ from Artificial Analysis

What API key is required?

An Artificial Analysis API key (AA_API_KEY) is required. You can obtain one at artificialanalysis.ai.

How do I install the server?

Install via npx: npx -y artificial-analysis-mcp with the AA_API_KEY environment variable. Alternatively, add it to Claude’s MCP configuration in ~/.claude/settings.json.

What model data is available?

Each model includes pricing (input/output/blended per 1M tokens), speed (output tokens/sec, time to first token), and benchmarks (Intelligence Index, Coding Index, Math Index, MMLU-Pro, GPQA, LiveCodeBench, and more).

Can I filter or sort models?

Yes. The list_models tool supports filtering by creator (e.g., "OpenAI") and sorting by fields like price, speed, intelligence index, or release date.