How to Use the Zeplo (Queue & Background Job API) MCP in OpenAI Agents SDK

Q: How do I handle recurring tasks with Zeplo (Queue & Background Job API) and OpenAI Agents SDK?

Set up recurring tasks using createschedule. Your agent handles the scheduling, making sure the job runs even when your system is offline. It’s perfect for continuous data feeds.

Q: Can I pause or resume a background process with Zeplo (Queue & Background Job API) and OpenAI Agents SDK?

Yes, you can manage the state of jobs using updateschedule. You can pause a schedule if maintenance is needed, then easily resume it later without reconfiguring anything.

Q: Is there a way to list all available queues with Zeplo (Queue & Background Job API) and OpenAI Agents SDK?

Absolutely. Use listqueues to get a comprehensive list of every queue set up in the workspace. This is your starting point for building new automation.

Q: If I need historical data, how do I check logs with Zeplo (Queue & Background Job API) and OpenAI Agents SDK?

You use listqueuelogs. It gives you a paginated history of requests for a specific queue. You can track failures or successes without digging through raw server logs.

Manage reliable background jobs and webhooks with the OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Zeplo (Queue & Background Job API) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zeplo (Queue & Background Job API) 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.

GDPR Free for Subscribers

Setup Zeplo (Queue & Background Job API) with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Schedule Recurring Jobs

Use `create_schedule` to set up recurring tasks. Your agent runs code consistently, whether it's daily reporting or weekly data syncs. You can manage these jobs entirely through the SDK. Need to adjust timing? Just call `update_schedule`. You even have `list_schedules` to check what’s running.

Control Request Lifecycles

The toolset exposes `enqueue_request`, allowing your agent to kick off a job from a defined queue. This ensures the request resolves properly and doesn't fail mid-process. If something goes sideways, call `cancel_request` immediately. It stops pending jobs on the fly, saving computation time.

Monitor Job History

Need to audit what happened? Call `list_queue_logs` to get paginated request history for any queue. This gives you a clean record of execution and failures. You can also check current status using `get_request`, which shows the full timeline for a single job run.

Setup guide

Set up Zeplo (Queue & Background Job API) 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

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

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 Zeplo (Queue & Background Job API) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Zeplo (Queue & Background Job API) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Zeplo (Queue & Background Job API) 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="Zeplo (Queue & Background Job API) Agent",
            instructions="You have access to Zeplo (Queue & Background Job API) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Zeplo. 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.

Connect Zeplo (Queue & Background Job API) now

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 Zeplo (Queue & Background Job API) MCP in OpenAI Agents SDK

Set up recurring tasks using `create_schedule`. Your agent handles the scheduling, making sure the job runs even when your system is offline. It’s perfect for continuous data feeds.

Yes, you can manage the state of jobs using `update_schedule`. You can pause a schedule if maintenance is needed, then easily resume it later without reconfiguring anything.

This MCP Server touches request payloads and queue details. Your agent reads the structured input for every job, ensuring the content is valid before processing.

Absolutely. Use `list_queues` to get a comprehensive list of every queue set up in the workspace. This is your starting point for building new automation.

You use `list_queue_logs`. It gives you a paginated history of requests for a specific queue. You can track failures or successes without digging through raw server logs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript