Artificial Analysis MCP Server

@davidhariri

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

davidhariri

提交者

David Hariri

关于 Artificial Analysis MCP Server

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

Artificial Analysis MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Artificial Analysis MCP Server 工具

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.).

概览

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

常见问题

What API key is required?

An Artificial Analysis API key (`AA_API_KEY`) is required. You can obtain one at [artificialanalysis.ai](https://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.

Is there a limit on results?

Yes, the `list_models` tool accepts an optional `limit` parameter to cap the number of returned models.

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