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How to Use the Web Scraper MCP in Cline

Write components using live web data. Build with Cline and the Web Scraper MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Cline

Connect Web Scraper MCP to Cline

Create your Vinkius account to connect Web Scraper to Cline 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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Scrape site structure for code inputs.

Need to find all endpoints or links on a documentation site? Run `list_links` to pull every internal hyperlink from a source page. This gives you a predictable list of URLs that share the same hostname, perfect for building navigation components. You can then use this link list directly in your coding workflow and feed it into another MCP Server for data ingestion.

Ingest full web content into files.

The `read` tool fetches the main article body from any public page, cleaning out junk HTML and returning clean Markdown. This means you can write a script that pulls blog posts into markdown files for documentation generation. If you're tackling several pages at once—say, 10 different product manuals—use `batch_read`. It fetches up to 10 URLs in parallel, making your data ingestion code much faster.

Build metadata-driven components.

When you need structured information for a dashboard component, the `extract` tool is what you use. It returns title, description, OG tags, and author info—all useful fields for generating rich data cards. For initial reconnaissance on a new site, run `crawl`. This maps out up to 10 pages from a starting URL, letting your agent understand the overall scope of the content before you write any code.

Setup guide

Set up Web Scraper MCP in Cline

Prerequisites

  • VS Code with Cline extension installed
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open Cline MCP settings

    Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.

  2. 2

    Add a remote server

    Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type web-scraper-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.

  3. 3

    Enable the server

    After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.

  4. 4

    Start using tools

    Return to the Cline chat and ask: "Check my latest Web Scraper refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings
{
  "mcpServers": {
    "web-scraper-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Web Scraper. 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.

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 Web Scraper MCP in Cline

Use the `extract` tool. It provides key metadata like title, description, and OG tags in a clean JSON output that your code can easily consume. You don't have to write complex parsers for basic page information.
The `batch_read` tool handles this perfectly. It allows you to pass up to 10 separate URLs and pulls the complete, clean Markdown content for every single one in parallel. Your script gets all the data it needs fast.
Yes. While `read` is optimized for articles and docs, you can use it on any public page to get the main text content in Markdown format. If the page is very simple, you'll still need `extract` to grab structured data like meta tags.
The `extract` tool gives you a full set of structural elements: title, description, OG tags, and the language code. This is exactly what you need to build out structured data or validate SEO requirements in your application.
This MCP Server works by reading public web page content and associated metadata. The data it provides is limited to what's publicly visible on the web; your agent won't access protected user accounts or private databases.

Start using the Web Scraper MCP today

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Built & Managed by Vinkius 30s setup 5 tools

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