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Octoparse MCP Server

Octoparse MCP Server

Remote
octoparse.comBrowser Automation1Updated 13w ago

About Octoparse MCP Server

Octoparse MCP Server connects MCP clients to Octoparse for users working with preset web-scraping templates and cloud tasks. It supports template discovery, task execution, management, and structured data export.

Key features

  1. 01Search scraping templates
  2. 02Create and run cloud tasks from presets
  3. 03Validate template parameters
  4. 04Search and manage existing tasks
  5. 05Export data in multiple formats

Use cases

  1. 01Find templates by keyword
  2. 02Run a template to collect website data
  3. 03Export results from completed tasks
  4. 04Manage cloud tasks in an account

MCP support

It connects MCP clients through a hosted Streamable HTTP endpoint and exposes template search, task management, and data export tools. OAuth and API key authentication are supported.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.octoparse.com
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Octoparse MCP Server

Octoparse Docs MCP

English | 日本語

Octoparse MCP Server connects MCP-compatible AI clients to Octoparse so users can discover scraping templates, create cloud tasks from Octoparse preset templates, manage existing tasks, and export structured data.

Hosted Server

Use the hosted Streamable HTTP endpoint:

https://mcp.octoparse.com

Configure this as an MCP server endpoint, not as a REST API tool.

Authentication

The hosted server officially supports both OAuth and API key authentication:

  • OAuth: the default option when the MCP client can open a browser authorization flow.
  • API key: an optional authentication method for clients that can send custom HTTP headers.

For API key mode, send the key in the x-api-key header. Do not place real keys in source control, issue reports, screenshots, or shared logs.

Quick Start

Generic HTTP MCP configuration:

{
  "mcpServers": {
    "octoparse": {
      "type": "http",
      "url": "https://mcp.octoparse.com"
    }
  }
}

Claude OAuth / default authentication:

claude mcp add --transport http octoparse https://mcp.octoparse.com

Claude with API key:

claude mcp add --transport http octoparse https://mcp.octoparse.com --header "x-api-key: YOUR_API_KEY"

Codex CLI:

codex mcp add octoparse --url https://mcp.octoparse.com

Gemini CLI example configuration:

{
  "mcpServers": {
    "octoparse": {
      "httpUrl": "https://mcp.octoparse.com",
      "oauth": {
        "clientId": "Octoparse",
        "enabled": true
      }
    }
  }
}

After adding the server, complete authorization in the browser if your client prompts for OAuth.

More client examples are in Configuration.

Tools

ToolPurpose
search_templatesFind Octoparse templates by keyword, template ID, or slug.
execute_taskValidate parameters, create a cloud task from an Octoparse preset template, and start extraction.
export_dataExport task results as JSON, CSV, Excel, HTML, or XML when data is ready.
search_tasksSearch existing tasks in the authenticated account.
start_or_stop_taskStart or stop an existing cloud task by task ID.
redeem_coupon_codeRedeem a promotion, coupon, or resource code supplied by the user.

See Tools for inputs, examples, and common failure cases.

Typical Workflow

search_templates -> execute_task -> export_data

Example user prompt:

Find a cloud-capable Octoparse template for Amazon product listings, run it for wireless earbuds, and export the result as CSV.

For an existing task, use:

search_tasks -> export_data

Scheduling, notifications, recurring jobs, and external automations are handled by the MCP client or another automation system. The MCP server exposes task and export tools; it does not provide a standalone scheduler.

Scope

Octoparse MCP Server can:

  • Search the Octoparse template library.
  • Create and run cloud-capable tasks from Octoparse preset templates.
  • Validate template parameters before execution.
  • Export collected data when a task has data available.
  • Search, start, stop, monitor, and export existing cloud-supported tasks, including existing cloud-supported custom tasks.

It does not:

  • Run local-only desktop tasks through the hosted server.
  • Create fully custom scraping tasks.
  • Create or edit custom task configuration details such as custom fields, pagination rules, loop logic, browser workflow, or extraction steps.
  • Upload private templates.
  • Provide billing or account administration tools.
  • Schedule recurring runs by itself.

Common Limits

  • Some templates are local-only and must be run in the Octoparse desktop app.
  • Cloud execution depends on account permissions, available credits or quota, target-site availability, and template support.
  • Long-running tasks may need follow-up calls. If data is still collecting or exporting, wait and call export_data again.
  • Tool availability can be narrowed with includeTools or excludeTools URL parameters. See Overview.

Security

  • Keep API keys and OAuth tokens out of Git, logs, screenshots, and public issues.
  • Use OAuth when possible for interactive clients.
  • Use x-api-key only with clients that store headers securely.
  • Report vulnerabilities privately. See Security.

Documentation

Development

npm install
npm run build
npm test

For local environment variables, copy .env.example to .env and fill only values needed for your environment. Never commit .env.

Contributing

Contributions are welcome. Please read CONTRIBUTING.md before opening issues or pull requests.

License

MIT. See LICENSE.md.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.