How to Use the Octoparse MCP in Cursor

Q: Can Cursor automatically run Octoparse tasks?

Yes. In Agent mode, Cursor can initiate starttask when your code requires a fresh web scrape to proceed with testing.

Q: How does the Octoparse MCP Server secure my API keys in Cursor?

The server uses gettoken to manage OAuth 2.0 credentials locally. Cursor never exposes your raw API keys to external LLM providers.

Q: Can I clean up scraper footprints using Cursor?

Yes. You can instruct Cursor to run cleartaskdata to purge testing datasets from the cloud after your local tests pass.

Q: How does Cursor handle large Octoparse data payloads?

The editor uses gettaskdata to pull records in 1000-row chunks. This prevents Cursor from lagging when reading large scraped datasets.

Run Octoparse cloud crawlers and inject live scraped data directly into your active Cursor codebase.

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Connect Octoparse MCP to Cursor

Create your Vinkius account to connect Octoparse 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 Octoparse with Cursor

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Inject Live Web Data into Cursor Files

The `get_task_data` tool pulls fresh scraped records directly into your Cursor active context using this MCP Server. Once the data is in your workspace, Cursor can write parser scripts or database seeders based on the exact structure returned by your cloud scraper.

Control Scraping Runs in Cursor

The `start_task` and `stop_task` tools let you trigger cloud extraction tasks directly from Cursor's Agent mode. The agent monitors the run with `get_task_status` and lets you know when the dataset is ready. You can write code while the cloud handles the heavy lifting.

Configure Scraper Parameters from the Editor

The `update_task_params` tool lets you update your crawler configurations without opening the separate scraper app. You can locate your scrapers using `list_tasks` and filter them by folder with `list_task_groups`. This keeps your MCP development environment synchronized with your active cloud tasks.

Setup guide

Set up Octoparse 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 Octoparse 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 Octoparse transactions." If the MCP tools are loaded correctly, Cursor will call the Octoparse tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "octoparse-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 Octoparse. 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 Octoparse MCP in Cursor

Add the MCP server settings to your local .cursor/mcp.json file. Once saved, Cursor Agent mode will automatically detect the new web scraping capabilities.

Yes. In Agent mode, Cursor can initiate `start_task` when your code requires a fresh web scrape to proceed with testing.

The server uses `get_token` to manage OAuth 2.0 credentials locally. Cursor never exposes your raw API keys to external LLM providers.

Yes. You can instruct Cursor to run `clear_task_data` to purge testing datasets from the cloud after your local tests pass.

The editor uses `get_task_data` to pull records in 1000-row chunks. This prevents Cursor from lagging when reading large scraped datasets.

Use it with your favorite AI tools

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