How to Use the Hyperbrowser (Web Infra for AI) MCP in Claude

Q: How do I configure Hyperbrowser (Web Infra for AI) in my Claude Desktop configuration file?

Open your claudedesktopconfig.json file and add the MCP server under the mcpServers key. Point it to the Vinkius executable with your API key, save, and restart the app to see the tools appear.

Q: Does Hyperbrowser (Web Infra for AI) support visual debugging in Claude Desktop?

Yes, the pagescreenshot tool returns image metadata and URLs directly to Claude Desktop. This allows you to inspect the visual state of the cloud browser during complex automation runs.

Q: How does the async scraping workflow work in this server?

You start by calling startscrape with a target URL. The server returns a job ID, which you pass to getscrapejob to check the progress and retrieve the final HTML payload once rendering is complete.

Let Claude Desktop spin up cloud browsers on demand via this MCP Server to scrape pages and extract structured data without leaving your chat.

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Connect Hyperbrowser (Web Infra for AI) MCP to Claude Desktop

Create your Vinkius account to connect Hyperbrowser (Web Infra for AI) to Claude Desktop 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 Hyperbrowser (Web Infra for AI) with Claude Desktop

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Control cloud browser sessions directly from Claude Desktop

Spin up a remote browser instance using `create_session` to give Claude Desktop a direct connection to the live web. This tool gives your chat client a direct line to a remote browser, allowing you to check its health with `get_session` or clean up when finished using `stop_session`. You don't have to worry about managing browser lifecycles manually. Your local Claude Desktop client handles the setup via this MCP Server, letting you list past runs with `list_sessions` to keep track of active cloud resources during long research sessions.

Extract clean JSON from complex pages using your MCP Server

Use `extract_data` to get clean JSON from any web page without writing custom parsers. Send a URL to the tool along with a target schema, and the server returns clean JSON containing only the specific fields you asked for. For heavier sites, trigger an asynchronous extraction using `start_scrape` and poll for results with `get_scrape_job`. This keeps your Claude Desktop chat responsive while the remote browser handles heavy Javascript rendering behind the scenes.

Execute custom Javascript inside dynamic web pages

Execute custom Javascript routines directly inside the browser using `run_script` when static scrapers fail. The tool executes JS directly in the active browser context, while `page_content` grabs the final rendered HTML. You can also capture visual proof of what the browser sees. Use `page_screenshot` to send visual layouts back to Claude Desktop, making it easy to debug layout shifts or verify that your script clicked the right button.

Setup guide

Set up Hyperbrowser (Web Infra for AI) MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Hyperbrowser (Web Infra for AI) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Hyperbrowser (Web Infra for AI) MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under hyperbrowser-web-infra-for-ai-mcp.

json

{
  "mcpServers": {
    "hyperbrowser-web-infra-for-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 Hyperbrowser. 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.

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Common questions about Hyperbrowser (Web Infra for AI) MCP in Claude Desktop

Open your `claude_desktop_config.json` file and add the MCP server under the `mcpServers` key. Point it to the Vinkius executable with your API key, save, and restart the app to see the tools appear.

Yes, you can connect it via the custom connectors settings on claude.ai. Just paste your remote MCP server URL from Vinkius into the integrations tab to access cloud browsers without running a local terminal.

Yes, the `page_screenshot` tool returns image metadata and URLs directly to Claude Desktop. This allows you to inspect the visual state of the cloud browser during complex automation runs.

You start by calling `start_scrape` with a target URL. The server returns a job ID, which you pass to `get_scrape_job` to check the progress and retrieve the final HTML payload once rendering is complete.

Your scraped HTML and screenshot files are processed in isolated, ephemeral browser instances that exist only for the duration of your session. Once you call `stop_session` or the job finishes, the remote container is destroyed, leaving no persistent footprint of your data.

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