Artificial Analysis

Created By

David Hariri6 months ago

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

Overview Content Tools Comments

Overview

Artificial Analysis MCP Server

An MCP (Model Context Protocol) server that provides LLM model pricing, speed metrics, and benchmark scores from Artificial Analysis.

Features

Get real-time pricing for 300+ LLM models (input/output/blended rates)
Compare speed metrics (tokens/sec, time to first token)
Access benchmark scores (Intelligence Index, Coding Index, MMLU-Pro, GPQA, and more)
Filter by provider (OpenAI, Anthropic, Google, etc.)
Sort by any metric

Installation

Claude Code

claude mcp add artificial-analysis -e AA_API_KEY=your-key -- npx -y artificial-analysis-mcp

Or install from GitHub:

claude /mcp add https://github.com/davidhariri/artificial-analysis-mcp

Manual Configuration

Add to your Claude settings (~/.claude/settings.json):

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

Configuration

Environment Variable	Required	Description
`AA_API_KEY`	Yes	Your Artificial Analysis API key

Get your API key at artificialanalysis.ai.

Tools

`list_models`

List all available LLM models with optional filtering and sorting.

Parameters:

Name	Type	Required	Description
`creator`	string	No	Filter by model creator (e.g., "OpenAI", "Anthropic")
`sort_by`	string	No	Sort field (see below)
`sort_order`	string	No	"asc" or "desc" (default: "desc")
`limit`	number	No	Maximum results to return

Sort fields: price_input, price_output, price_blended, speed, ttft, intelligence_index, coding_index, math_index, mmlu_pro, gpqa, release_date

Example usage:

"List the top 5 fastest models"
"Show me Anthropic models sorted by price"
"What are the cheapest models with high intelligence scores?"

`get_model`

Get detailed information about a specific model.

Parameters:

Name	Type	Required	Description
`model`	string	Yes	Model name or slug (e.g., "gpt-4o", "claude-4-5-sonnet")

Returns: Complete model details including pricing, speed metrics, and all benchmark scores.

Example usage:

"Get pricing for GPT-4o"
"What are Claude 4.5 Sonnet's benchmark scores?"

Model Data

Each model includes:

Pricing: Input/output/blended rates per 1M tokens (USD)
Speed: Output tokens per second, time to first token
Benchmarks: Intelligence Index, Coding Index, Math Index, MMLU-Pro, GPQA, LiveCodeBench, and more

Development

# Install dependencies
npm install

# Build
npm run build

# Run locally
AA_API_KEY=your-key node dist/index.js

License

MIT

Try in Playground

Server Config

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

Project Info

Created At

6 months ago

Updated At

6 months ago

Author Name

David Hariri

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