How to Use the Browse AI MCP in Cursor

Q: How does Cursor use Browse AI to write better scraping code?

Cursor queries your robots using getrobot to see their exact output schemas. It then uses this live structure to write type-safe code, eliminating the need for placeholder data structures.

Feed live scraped web data directly into your codebase using Browse AI inside Cursor.

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Connect Browse AI MCP to Cursor

Create your Vinkius account to connect Browse AI to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Browse AI with Cursor

Ask AI about this MCP

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Claude

Perplexity

Generate code using live data from Cursor

This Browse AI schema tool lets you pull actual JSON payloads from your account instead of writing mock data structures. Cursor uses `get_task` and `get_robot` to pull actual JSON payloads, allowing the editor to generate accurate TypeScript interfaces or database schemas based on real-world scraped data. Having live API shapes directly in your editor means you write cleaner code on the first try. Your agent inspects the exact fields returned by a robot so you do not have to guess at the schema.

Trigger and debug web scrapers during development

The Browse AI scraper execution tool lets you test your data pipelines directly inside your code workspace. Cursor runs `run_robot` to spin up a scraping task and monitors its progress in real-time. If something goes wrong, the agent calls `get_system_status` to verify if the delay is due to platform queues. This tight feedback loop speeds up how you build and debug data-dependent features.

Manage scraping schedules inside this MCP Server

This Browse AI scheduling tool keeps your local development database synced with fresh production data. The agent uses `list_monitors` to check active schedules and `create_monitor` to set up new extraction intervals directly from the Cursor terminal pane. You can also inspect large data sets using `list_bulk_runs` and `get_bulk_run` to make sure your local application handles pagination and bulk payloads correctly.

Setup guide

Set up Browse AI MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Browse AI MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Browse AI transactions." If the MCP tools are loaded correctly, Cursor will call the Browse AI tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "browse-ai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browse AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Browse AI MCP in Cursor

Cursor queries your robots using `get_robot` to see their exact output schemas. It then uses this live structure to write type-safe code, eliminating the need for placeholder data structures.

Yes, you can ask the Cursor agent to run a scraper. It invokes `run_robot` and tracks the job status using `get_task` until the extracted data is ready to be written to a file.

No, you do not need to commit any secrets to your repository. This MCP Server handles authentication through a single secure Vinkius endpoint token configured globally or in your local settings.

You ask the editor's agent to check on high-volume runs. It uses `list_bulk_runs` and `get_bulk_run` to pull status updates and data samples directly into your workspace.

Your scraped web data and robot configurations are protected by Vinkius's ephemeral, zero-trust sandbox. No scraping payloads or credential data are cached or stored on the hosting platform.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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