How to Use the Octoparse MCP in Claude Code

Q: How do I install the Octoparse MCP server in Claude Code?

Run the claude mcp add command in your terminal specifying the server name and transport type. This registers the scraper tools directly into your Claude Code CLI environment.

Q: How does Claude Code handle large Octoparse datasets?

Claude Code streams the scraped web data using gettaskdata with offset pagination. This prevents terminal buffer overflows and lets you safely redirect large outputs to a file.

Trigger and monitor Octoparse cloud scrapers directly from your terminal using Claude Code CLI commands.

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Create your Vinkius account to connect Octoparse to Claude Code 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 Claude Code

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Octoparse MCP Server Terminal Control

Claude Code lets you manage cloud crawlers without leaving your shell. Run a simple command, and this MCP server uses `list_tasks` to list your active crawlers right in stdout. You can immediately trigger a run using `start_task` and pipe the output to other CLI utilities for instant analysis.

Headless CI/CD Scraping Pipelines

Integrate web scraping into your deployment workflows. Claude Code can use `get_token` to authenticate and run `get_task_status` as part of a post-deploy verification script. If a scraper fails during a pipeline run, Claude Code can automatically trigger `stop_task` to prevent wasting resources and log the error to stderr.

Command-Line Data Extraction and Purging

Extract scraped web data and save it straight to local JSON files. Claude Code calls `get_task_data` to stream the records directly into your terminal environment. To keep your cloud storage tidy, Claude Code can immediately run `clear_task_data` to purge testing footprints after a successful local export.

Setup guide

Set up Octoparse MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see octoparse-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Octoparse transactions." It will automatically discover and invoke the available Octoparse tools.

Terminal

claude mcp add --transport http octoparse-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Octoparse MCP

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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "octoparse-mcp": {
      "type": "url",
      "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 Claude Code

Run the `claude mcp add` command in your terminal specifying the server name and transport type. This registers the scraper tools directly into your Claude Code CLI environment.

Yes, you can pipe Claude Code outputs to automate runs. It can run `start_task` and poll `get_task_status` entirely from a headless shell script.

Claude Code streams the scraped web data using `get_task_data` with offset pagination. This prevents terminal buffer overflows and lets you safely redirect large outputs to a file.

Yes, you can tell Claude Code to update your crawler settings. It will use `update_task_params` to change URLs or keywords without needing the desktop app.

Yes, your credentials and scraped web data are secure. The MCP transport runs locally on your machine, ensuring that your OAuth tokens retrieved via `get_token` are never exposed over the internet.

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