How to Use the Import.io (Web Data Extraction) MCP in Cursor

Q: How do I configure the Import.io (Web Data Extraction) MCP server in Cursor?

Create a .cursor/mcp.json file in your project root and add the server configuration. Once saved, Cursor's Agent mode automatically detects the tools and lets you invoke them in chat.

Q: Can Cursor automatically generate code based on Import.io (Web Data Extraction) schemas?

Yes, it can. By running getextractordata through this MCP Server, the agent inspects the actual JSON payload returned from the web extraction and writes precise, typed code to handle it.

Q: How do I run a new web scraper from Cursor using Import.io (Web Data Extraction)?

Use the runextractor tool by passing the target URL and extractor ID. You can monitor the progress with getextractorstatus before processing the final data in your editor.

Q: Is there a way to list all my configured scrapers inside the editor?

Yes, run the listextractors tool. It returns all configured scraper IDs on your account, so you can easily choose the right one for your code generation tasks.

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Connect Import.io (Web Data Extraction) MCP to Cursor

Create your Vinkius account to connect Import.io (Web Data Extraction) 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 Import.io (Web Data Extraction) with Cursor

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Feed live web data into your Cursor code generator

The `get_extractor_data` tool fetches structured JSON data from completed Import.io extractions directly into your active coding session. Your agent reads the exact schema of the returned data, allowing it to generate accurate TypeScript interfaces or database schemas without relying on placeholder mocks. If you need to kick off a new run first, trigger it with `run_extractor` and poll the status using `get_extractor_status`. This keeps your development loop fast, as you never have to leave your editor to grab real-world test data.

Debug extraction pipelines using this MCP Server

The `get_crawl_status` tool lets you monitor active bulk extraction jobs directly from the Cursor terminal interface. You can see the exact page success rates and processing states while your code runs in parallel. When the crawl completes, pull the unified payload using `get_crawl_data` to verify your parser logic against actual production outputs. If you prefer tabular data, use `download_csv` to inspect the first 1000 characters of the CSV file.

Explore unstructured target sites on the fly

The `run_magic_api` tool executes automated extractions against any URL without requiring pre-configured schemas. It is perfect for rapid prototyping when you need to inspect a site's structure before writing custom scraper code. To keep your project budget in check, run `account_usage` to see your API credit consumption. You can also use `list_extractors` to find existing scraper templates that your team has already built, saving you from duplicating work.

Setup guide

Set up Import.io (Web Data Extraction) 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 Import.io (Web Data Extraction) 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 Import.io (Web Data Extraction) transactions." If the MCP tools are loaded correctly, Cursor will call the Import.io (Web Data Extraction) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "importio-web-data-extraction-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Import.io. 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 Import.io (Web Data Extraction) MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and add the server configuration. Once saved, Cursor's Agent mode automatically detects the tools and lets you invoke them in chat.

Yes, it can. By running `get_extractor_data` through this MCP Server, the agent inspects the actual JSON payload returned from the web extraction and writes precise, typed code to handle it.

Use the `run_extractor` tool by passing the target URL and extractor ID. You can monitor the progress with `get_extractor_status` before processing the final data in your editor.

Yes, run the `list_extractors` tool. It returns all configured scraper IDs on your account, so you can easily choose the right one for your code generation tasks.

Your Import.io API credentials are kept in your local configuration files. The scraped HTML and JSON payloads are fetched directly into your editor's runtime memory through this MCP connection, ensuring your business data never leaks to third-party logs.

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