How to Use the Listclean MCP in OpenAI Agents SDK

Q: How do I initialize the Listclean MCP Server with the openai-agents-sdk?

Install openai-agents via pip and configure the MCP transport pointing to your Vinkius HTTP URL. Pass this server instance inside the mcpservers list when instantiating your Agent to auto-discover all five verification tools.

Q: How does openai-agents-sdk track Listclean tool calls?

Every call to verifysingleemail or getverificationlogs is recorded in the OpenAI developer dashboard. You get full visibility into what inputs the agent passed to the server and the exact validation status returned.

Q: What happens if my verification credits run out during an agent run?

You should have your agent call checkaccountcredits before executing batch jobs. If the tool returns a balance lower than your batch size, you can program the agent to halt execution or notify your team.

Keep OpenAI Agents SDK from sending campaigns to dead inboxes by validating lists directly inside your agent workflows.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Listclean MCP to OpenAI Agents SDK

Create your Vinkius account to connect Listclean 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 Listclean with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stop bounce rates before OpenAI Agents SDK triggers runs

The `verify_single_email` tool checks individual addresses in real-time before your agent executes next-step tasks. Your OpenAI Agents SDK can run this MCP tool inline, blocking bad data from entering your CRM before any agent handoff occurs. Never let an autonomous agent waste API costs on invalid contacts. By coupling this check with OpenAI's dashboard tracing, you can audit exactly why a contact failed validation and block the downstream workflow immediately.

Run batch cleaning inside your agent pipelines

The `verify_batch_emails` tool processes up to 3,000 addresses in a single request to clean bulk lead lists. Your OpenAI Agents SDK agent uses this endpoint to scrub entire databases before initiating cold outreach sequences. This batch mechanism prevents your outbound agents from hitting spam traps or hard bounces. Since OpenAI Agents SDK supports strict agent handoffs, you can route dirty lists to a verification agent before passing clean data to your sender agent.

Track credit limits inside the OpenAI Agents SDK

The `check_account_credits` tool monitors your remaining verification balance to prevent pipeline interruptions. Your OpenAI Agents SDK agent queries this endpoint before starting large batch runs, ensuring you don't run out of credits mid-execution. If credits drop below your safety threshold, the agent can trigger a budget alert or pause the run. This direct check keeps your automated marketing pipelines from failing due to empty account balances.

Setup guide

Set up Listclean 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 Listclean tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Listclean tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Listclean 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="Listclean Agent",
            instructions="You have access to Listclean 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 Listclean. 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 Listclean 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 Listclean MCP in OpenAI Agents SDK

Install `openai-agents` via pip and configure the MCP transport pointing to your Vinkius HTTP URL. Pass this server instance inside the `mcp_servers` list when instantiating your Agent to auto-discover all five verification tools.

Yes, you can configure your agent to pass batch payloads to the `verify_batch_emails` tool. The agent handles the HTTP request via the streamable HTTP transport, allowing you to process up to 3,000 emails without blocking your main execution thread.

Every call to `verify_single_email` or `get_verification_logs` is recorded in the OpenAI developer dashboard. You get full visibility into what inputs the agent passed to the server and the exact validation status returned.

You should have your agent call `check_account_credits` before executing batch jobs. If the tool returns a balance lower than your batch size, you can program the agent to halt execution or notify your team.

All email addresses and verification logs processed by the MCP Server run within Vinkius's isolated V8 sandboxes. Your data is never stored on the host, and ephemeral execution means your customer emails are wiped as soon as the API response returns.

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