Overview

Everything Argos offers to AI agents: an MCP server, a CLI, installable agent skills, and AI-ready documentation.

Argos is built to work with AI agents. Whether your assistant reviews visual changes in a pull request, inspects builds from your terminal, or answers questions about Argos, these are the features it can use.

MCP server

Connect AI assistants like Claude, Cursor, or Copilot to Argos: list builds, inspect diffs, review changes, and manage projects through the Model Context Protocol.

CLI

Upload screenshots, inspect builds, and submit reviews from scripts and local workflows — the tool agents use when they work in your terminal.

Agent skills

Installable skills that teach your assistant the Argos CLI and a complete pull-request visual review workflow.

AI-ready docs

This documentation is optimized for LLMs: Markdown for every page, llms.txt indexes, and its own docs MCP server.

Where to start

• To review builds with an AI agent in a pull request, follow the Review builds with AI agents guide — it combines the CLI and agent skills.
• To let an agent track down what makes a screenshot unstable, follow Fix flaky tests with AI agents.
• To give a general-purpose assistant access to your Argos account, connect it to the MCP server.
• To let an agent answer questions about Argos itself, point it at the AI-ready docs.