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