Your AI QA engineer

Describe what to test in plain English. Monito runs it in a real browser — finding bugs, testing edge cases, and delivering developer-ready reports. No code. No flaky scripts.

Animated demo of a coding agent calling Monito's run_scenario MCP tool: the Monito agent tests acme.dev/checkout in a real browser, submits invalid form data, captures screenshots, finds a crash on negative quantity and reports one bug, which the coding agent then reads with get_run.

~$0.11
Fig. 1 per test on Pro
0 lines
Fig. 2 of test code to write or maintain
Minutes
Fig. 3 to results, not hours

From prompt to bug report in minutes

01

Describe

Write what to test in plain English. "Test the checkout flow with an empty cart and verify error messages."

prompt:"Test checkout with empty cart, verify error handling"
02

Run

The AI agent opens a real browser, navigates your app, and tests edge cases you'd never think of.

navigate/checkout
click'Submit'
fillemail 'invalid'
03

Review

Get a full session with screenshots, network logs, console errors, and pass/fail results.

FAIL12s · 1 bug · 3 screenshots

An AI agent that actually understands your app

Monito navigates your webapp like a real user, testing flows you describe and edge cases you'd never think of

Plain-English prompts

Describe what to test in natural language. No selectors, no code, no setup.

Exploratory testing

Autonomously discovers edge cases — empty fields, special characters, boundary conditions.

Full session capture

Every run produces a complete session: network requests, console logs, screenshots, and interactions.

Real browser execution

Tests run in actual Chromium, not a simulation. What the agent sees is what your users see.

Pass/fail with evidence

Every finding comes with screenshots, steps to reproduce, and full technical context.

Structured bug reports

Pipe results into your stack via webhooks, GitHub Actions, or the API — and download the session video.

Your QA agent, inside your coding agent

Connect Monito to Claude Code, Cursor, Claude or ChatGPT over MCP, or script it with the CLI. Your agent changes the code, tests it in a real browser, reads the bug report and fixes what broke.

  • Your AI agent can drive it

    Add the MCP server to Claude Code, Cursor, Claude or ChatGPT. The agent runs a test, reads the bug report, fixes the code and runs the test again.

  • The whole product, scriptable

    Runs, sessions, projects, discoveries, credits — all of it from a tool call or a terminal command.

  • Catch bugs before you ship

    A run fails the moment the agent finds a bug, and the CLI exits non-zero, so a bad build never ships.

  • Evidence, not a summary

    Bug reports come with repro steps, failed network requests, console errors and screenshots. Add --json to any CLI command for output you can pipe.

For scripts, CI and any agent that runs shell commands. Every command takes --json, and a failed run exits non-zero.

$npm i -g @monitodev/cli
monito cli@monitodev/cli
$npm i -g @monitodev/cli
+ @monitodev/cli
$monito project run web-checkout
✓queued run_8f2a1c
navigate/checkout
fillcard → 4242 4242 4242 4242
bugcrash on negative quantity
FAIL1:24 · 47 events · 1 bug · 6 screenshots
$echo $?# non-zero → stops the deploy
2
Hosted MCP server
https://www.monito.dev/api/mcp

Nothing to install. Add the URL to your client and sign in to Monito in the browser when it asks.

$claude mcp add --transport http monito https://www.monito.dev/api/mcp
coding agentmonito mcp
>Add a quantity field to checkout and check it in the browser
callrun_scenario · Checkout quantity
Run run_8f2a1c failed: 1 bug, 84s. Report: monito.dev/session/8f2a1c
FAIL1:24 · 1 bug
callget_run · run_8f2a1c
bugCart crashes when quantity is -1
1. Open /checkout 2. Set quantity to -1 3. Click “Update cart”
console: TypeError: Cannot read properties of undefined (reading 'price')
editsrc/cart/quantity.ts · clamp quantity to 1–99
callrun_scenario · Checkout quantity
PASS1:02 · 0 bugs

Frequently asked questions

It opens a real Chromium browser, navigates your web app based on your prompt, interacts with elements, tests edge cases, and captures everything — network requests, console errors, screenshots, and user interactions. You get a full session with pass/fail results.

QA coverage at a fraction of the cost

One credit is one test run. A discovery costs 20. No seats, no per-project fees.

ProPopular
$79/mo

For founders and small teams shipping every week

700 credits each month

≈ 600 tests + 5 discoveries

  • Unlimited projects and environments
  • Automations: schedules, deploy webhook, GitHub Actions
  • API keys and the monito CLI
  • Bug reports with replay, network and console evidence
Team
$199/mo

For teams running suites on every deploy

1,800 credits each month

≈ 1,500 tests + 15 discoveries

  • Everything in Pro
  • Slack notifications and bug threads
  • Priority support
Enterprise
Custom

For larger teams with their own limits and requirements

  • Custom credit volume
  • SSO, SLA, invoicing
  • Direct line to the founder
Talk to us

Every account starts with 50 credits — one discovery and 30 tests — before you pick a plan. No card needed.