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