Artificial Analysis MCP Server

Artificial Analysis MCP Server

Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.

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README

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

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