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artificial-analysis

artificial-analysis is an MCP server for Claude Code from davidhariri/artificial-analysis-mcp. Its token cost is not measured, scanned A, original, MIT.

A local connection for an external service called Artificial Analysis, configured to run with Node.js and an API key.

In plain words
What is it for?
Use it to make the Artificial Analysis service available to an agent through the Model Context Protocol, a standard way for agents to call external tools.
Why use it?
The supplied information does not describe which analyses or actions the service provides.

MCP server for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: listed in a Claude config.

Part of the artificial-analysis plugin — 1 MCP server shipped together

not rated 9 7mo ago A scan tokens not measured original MIT
View the source file davidhariri/artificial-analysis-mcp
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add mcp/davidhariri/artificial-analysis-mcp/artificial-analysis
Clone the repo
git clone --depth 1 https://github.com/davidhariri/artificial-analysis-mcp

Made for: Claude Code.

Or install artificial-analysis, the plugin that ships this one along with the rest of its 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for artificial-analysis

README.md
[![agentmods](https://agentmods.dev/badge/mcp/davidhariri/artificial-analysis-mcp/artificial-analysis.svg)](https://agentmods.dev/mcp/davidhariri/artificial-analysis-mcp/artificial-analysis)
Your own site
<a href="https://agentmods.dev/mcp/davidhariri/artificial-analysis-mcp/artificial-analysis"><img src="https://agentmods.dev/badge/mcp/davidhariri/artificial-analysis-mcp/artificial-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured Not applicable: nothing here is loaded into a session.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

artificial-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.mcp.json · 11 lines

What it actually says

{
  "artificial-analysis": {
    "command": "node",
    "args": [
      "dist/index.js"
    ],
    "env": {
      "AA_API_KEY": "${AA_API_KEY}"
    }
  }
}
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 11 lines scan A 827accaa54a9

Subscribe to this mod's changes

artificial-analysis is an MCP server published in the GitHub repository davidhariri/artificial-analysis-mcp (9 stars, last pushed 7mo ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metricsLLMaibenchmarksllmsmcpmcp-server
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