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Octoparse MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Get New Data, Get Task Data, Get Task Status, and more

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Octoparse through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Octoparse app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Octoparse Assistant",
            instructions=(
                "You help users interact with Octoparse. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Octoparse"
        )
        print(result.final_output)

asyncio.run(main())
Octoparse
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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.

The OpenAI Agents SDK auto-discovers all 8 tools from Octoparse through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Octoparse, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to wire Octoparse into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 8 tools from Octoparse

Why Use OpenAI Agents SDK with the Octoparse MCP Server

OpenAI Agents SDK provides unique advantages when paired with Octoparse through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Octoparse + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Octoparse MCP Server delivers measurable value.

01

Automated workflows: build agents that query Octoparse, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Octoparse, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Octoparse tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Octoparse to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Octoparse in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Octoparse to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Octoparse + OpenAI Agents SDK FAQ

Common questions about integrating Octoparse MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.