3,400+ MCP servers ready to use
Vinkius

Octoparse MCP Server for VS Code CopilotGive VS Code Copilot instant access to 8 tools to Get New Data, Get Task Data, Get Task Status, and more

Built by Vinkius GDPR 8 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Use with Your AI Agent

Ask AI about this App Connector for VS Code Copilot

Open in ChatGPT Open in Claude Open in Perplexity

The Octoparse app connector for VS Code Copilot is a standout in the Industry Titans category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Octoparse and 3,400+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "octoparse-alternative": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Octoparse
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Octoparse MCP Server

Connect your Octoparse account to any AI agent and take full control of your web data orchestration through natural conversation. Octoparse is the premier no-code web scraping tool, and this integration allows you to retrieve task metadata, trigger cloud extractions, and ingest structured web data directly from your chat interface.

GitHub Copilot Agent mode brings Octoparse data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Task & Group Orchestration — List all managed scraping tasks and retrieve detailed group metadata programmatically to ensure your data foundation is always synchronized.
  • Cloud Extraction Control — Start and stop cloud-based scraping tasks directly from the AI interface to rapidly gather real-time data from any website.
  • Extraction Intelligence — Retrieve extracted data in bulk or filter for 'non-exported' records via natural language to drive better research efficiency.
  • Status Monitoring Oversight — Access real-time task statuses (Running, Completed, Stopped) using simple AI commands to ensure your data collection is always optimized.
  • Operational Monitoring — Track system responses and manage data status updates to maintain a high-fidelity interaction history.

The Octoparse MCP Server exposes 8 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Octoparse tools available for VS Code Copilot

When VS Code Copilot connects to Octoparse through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-extraction, no-code, web-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_new_data

Get new (non-exported) data from a task

get_task_data

Get extracted data from a task by offset

get_task_status

Get status of a scraping task

list_task_groups

List all task groups

list_tasks

Can be filtered by task group ID. List tasks

start_task

Start a scraping task

stop_task

Stop a scraping task

update_data_status

Mark data as exported

Connect Octoparse to VS Code Copilot via MCP

Follow these steps to wire Octoparse into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using Octoparse

Ask Copilot: "Using Octoparse, help me...". 8 tools available

Why Use VS Code Copilot with the Octoparse MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Octoparse through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Octoparse + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Octoparse MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Octoparse in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Octoparse immediately.

01

"List all my scraping tasks in Octoparse."

02

"Start running my Amazon product scraping task and check its current status."

03

"Get the extracted data from my latest completed scraping task."

Troubleshooting Octoparse MCP Server with VS Code Copilot

Common issues when connecting Octoparse to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Octoparse + VS Code Copilot FAQ

Common questions about integrating Octoparse MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.