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How to Use the Apify Alternative MCP in OpenAI Agents SDK

Manage cloud tasks directly inside OpenAI Agents SDK. Audit runs and datasets without leaving your production code.

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OpenAI Agents SDK

Connect Apify Alternative MCP to OpenAI Agents SDK

Create your Vinkius account to connect Apify Alternative to OpenAI Agents SDK 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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Monitor cloud automation with OpenAI Agents SDK

Your agent inspects actor performance by calling `get_actor` or `list_runs`. It checks if your background tasks finished correctly before moving to the next step. This MCP server gives your agent direct visibility into your infrastructure. It parses `list_tasks` to see what is currently queued or running.

Retrieve datasets for agent analysis

Feed your agent raw data by invoking `get_dataset_items`. You can dump specific results into your agent's context for immediate processing. It handles the heavy lifting of data discovery. Your code calls `list_datasets` to identify which bucket holds the information you need.

Manage account resources programmatically

The agent checks your account health using `get_user_info`. It identifies which webhooks are active through `list_webhooks` to ensure your triggers are set up right. Don't waste time checking consoles. Your agent sees everything from `list_key_value_stores` to your active schedules in one go.

Setup guide

Set up Apify Alternative MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Apify Alternative tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Apify Alternative tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Apify Alternative tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Apify Alternative Agent",
            instructions="You have access to Apify Alternative tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apify. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Apify Alternative MCP in OpenAI Agents SDK

Yes. It connects as an MCP server directly into your agent definition. You get native tool discovery without writing custom wrappers.
Absolutely. It fits perfectly into your async workflow using the provided context manager. It is stable enough for high-volume agent systems.
It does. Enable cacheToolsList in your configuration to speed up tool discovery. This keeps your agent responsive during complex task loops.
Install the server via HTTP and pass it to your Agent constructor. The tools populate automatically once the connection is established.
Your actor execution logs and dataset contents stay within your control. We never store your credentials or sensitive scraping outputs on our servers.

Start using the Apify Alternative MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Apify Alternative. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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