Assrt

AI-powered QA testing that runs real browser tests against web applications. Works as an MCP server for coding agents (Claude Code, Cursor, etc.) and as a standalone CLI.

Why assrt over raw Playwright MCP?

Playwright MCP gives your agent browser tools. Assrt gives it a QA engineer.

	Playwright MCP	assrt
Browser control	Manual tool calls (navigate, click, type)	Same tools, plus structured test scenarios with pass/fail
Test execution	Agent figures out assertions on its own	Built-in #Case format with automatic reporting
Extension mode	Env var setup, manual token management	First-use token flow with auto-save to ~/.assrt/extension-token
Video recording	Not included	Every test run recorded, video player auto-opens
Cloud storage	None	Scenarios, runs, and artifacts saved with shareable URLs
Diagnosis	Agent guesses what went wrong	assrt_diagnose analyzes failures and suggests fixes
Retina screenshots	Breaks Claude API (>2000px)	File output mode avoids transport bloat

Install

npx @assrt-ai/assrt setup

This registers the MCP server globally, installs a QA reminder hook, and updates your CLAUDE.md.

Usage

MCP server (for coding agents)

After setup, three tools are available in Claude Code:

• assrt_test runs test scenarios against a URL and returns structured pass/fail results
• assrt_plan navigates to a URL and auto-generates test cases
• assrt_diagnose analyzes a failed test and suggests fixes

CLI

# Run tests
assrt run --url http://localhost:3000 --plan "
#Case 1: Homepage loads
Navigate to the homepage and verify the heading is visible.

#Case 2: Login works
Click Sign In, enter [email protected] / password123, verify dashboard appears.
"

# Use your existing Chrome session
assrt run --url https://app.example.com --plan "..." --extension

# Record a video of the test and auto-open the player
assrt run --url http://localhost:3000 --plan "..." --video

# Record video but don't auto-open the player
assrt run --url http://localhost:3000 --plan "..." --video --no-auto-open

# Output JSON for CI
assrt run --url http://localhost:3000 --plan-file tests.txt --json

Extension mode

Connect to your running Chrome instead of launching a new browser. Useful for testing behind authentication.

# First time: approve in Chrome, then pass the token
assrt run --url https://mail.google.com --plan "..." --extension --extension-token <token>

# Token is saved to ~/.assrt/extension-token; future runs just work
assrt run --url https://mail.google.com --plan "..." --extension

When used via MCP, the agent handles the token flow automatically by asking you to paste it on first use.

Non-blocking usage in Claude Code

The MCP tools (assrt_test, assrt_plan) block the conversation until they finish. To run tests without blocking, use the CLI via the Bash tool with run_in_background:

# Run in background (non-blocking)
npx assrt run --url http://localhost:3000 --plan "#Case: Homepage loads
- Verify the page loads
- Check heading is visible" --video --json

When run this way in Claude Code, the agent can continue working while the test executes. Results (including videoPlayerUrl) are returned in the JSON output when the background task completes.

How it works

Assrt wraps @playwright/mcp and adds a test execution layer on top. Each #Case in your plan runs as an independent scenario in a shared browser session. An LLM agent (Claude Haiku by default) interprets the steps, interacts with the page using Playwright MCP tools, makes assertions, and reports results.

Scenarios and results are saved locally (/tmp/assrt/) and optionally synced to app.assrt.ai for sharing and history.

Options

Flag	Description
--url	URL to test (required)
--plan	Test scenarios as inline text
--plan-file	Path to a file containing test scenarios
--model	LLM model (default: claude-haiku-4-5-20251001)
--headed	Show the browser window
--isolated	In-memory browser profile (no persistence)
--extension	Connect to existing Chrome
--extension-token	Playwright extension token (saved after first use)
--keep-open	Leave browser open after tests
--video	Record a video and open the player when done
--no-auto-open	Record video without auto-opening the player
--json	Output JSON report to stdout