Artificial Analysis
About
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.
Explore
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Artificial AnalysisCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
| Environment Variable | Required | Description |
|---------------------|----------|-------------|
| AA_API_KEY | Yes | Your Artificial Analysis API key |
Get your API key at artificialanalysis.ai.
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"
}
}
}
}
npm install
list_models
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_model
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.).
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"artificial analysis": {
"artificial-analysis": {
"command": "npx",
"args": [
"-y",
"artificial-analysis-mcp"
],
"env": {
"AA_API_KEY": "your-api-key"
}
}
}
}
}McpServers
{
"artificial-analysis": {
"command": "npx",
"args": [
"-y",
"artificial-analysis-mcp"
],
"env": {
"AA_API_KEY": "your-api-key"
}
}
}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
```bash
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