Install
$ agentstack add mcp-davidhariri-artificial-analysis-mcp ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
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
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: davidhariri
- Source: davidhariri/artificial-analysis-mcp
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.