How to Use the URL Metadata Scraper MCP in Claude

Q: How does the URL Metadata Scraper work with Claude Desktop?

The scrapeurl tool doesn't load a full webpage; it extracts metadata directly from the URL structure. This means you get the title, description, and image without wasting tokens or waiting for a slow render.

Instantly get OpenGraph metadata in the Claude Desktop app.

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Connect URL Metadata Scraper MCP to Claude Desktop

Create your Vinkius account to connect URL Metadata Scraper 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 URL Metadata Scraper with Claude Desktop

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Quickly extract SEO data for links

The `scrape_url` tool pulls core metadata—Title, Description, and Image—from any URL. You get this structured data instantly without running a full headless browser simulation. This is huge for link previews or checking social sharing validation before you post anything. It saves tokens compared to scraping the whole site.

Validate link content fast

Need to know if a link looks good on Twitter or Facebook? Run `scrape_url` against the target URL. The tool gives you clean OpenGraph data, including the intended image and title. You can check multiple links quickly right inside the chat interface. It's better than waiting around for an entire webpage to load.

Use metadata in local scripts

Because you’re using the Desktop app, you can pass URLs and process the resulting structured metadata locally. The `scrape_url` tool outputs clean JSON data that your connected subprocesses can read. This lets you build quick validation checks directly into your development workflow without leaving your machine.

Setup guide

Set up URL Metadata Scraper 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 URL Metadata Scraper 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 URL Metadata Scraper 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 url-metadata-scraper-mcp.

json

{
  "mcpServers": {
    "url-metadata-scraper-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 Cheerio 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.

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Common questions about URL Metadata Scraper MCP in Claude Desktop

The `scrape_url` tool doesn't load a full webpage; it extracts metadata directly from the URL structure. This means you get the title, description, and image without wasting tokens or waiting for a slow render.

Yep. Since you're running the tool through the local stdio transport on the desktop app, it integrates right into your dev environment. You can call `scrape_url` and work with that data as if it were a local API response.

No complicated setup is needed beyond installing the server via Extensions. Once connected, you just use the tool name `scrape_url` in your prompts and get structured data back immediately.

Absolutely. The Desktop app lets you run tools as subprocesses. You send a URL to `scrape_url`, and the resulting metadata is available for your local scripts to process.

This server only touches public-facing, structural data from a given URL. Specifically, it reads OpenGraph and standard SEO metadata like Title, Description, and Image paths. It doesn't access user accounts or private content.

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