Plain English to Browser Actions with Vibium MCP

With Vibium's built-in MCP server connected to an AI agent, you can describe a web task in plain English and the agent performs it in a real browser. You say what you want — "log in and add the first product to the cart" — and the agent calls Vibium's tools (navigate, find, click, type, screenshot), reading the page between steps. This is the core of AI-native automation: intent in, browser actions out.

How does plain English turn into actions?

The AI agent runs a sense → think → act loop using Vibium's MCP tools:

1. Sense — it reads the page (accessibility tree / DOM) through Vibium.
2. Think — it decides the next step from your instruction and what it sees.
3. Act — it calls a Vibium tool (click, type, navigate) and observes the result.

It repeats until your goal is met — no selectors written by hand.

A plain-English example

With Vibium MCP connected (see Claude Code, Cursor, or GitHub Copilot), prompt:

"Open the TTA Cart demo, log in as standard_user, add the TTA Practice Backpack to the cart, and tell me the cart total."

The agent navigates, finds the login fields, types the credentials, clicks add-to-cart, opens the cart, and reads the total back to you.

From prompt to a saved test

Plain English is perfect for authoring. For a suite you run in CI, ask the agent to write the flow as a Vibium script:

"Now save that as a Vibium test file I can run with node."

You get deterministic, committable code — natural language to draft, real script to keep.

Next steps

• Give Claude browser access with Vibium
• Build an AI agent that browses the web
• Vibium MCP: a complete overview