How to Use the IPQualityScore (IPQS) MCP in OpenAI Agents SDK

Catch bad signups and proxy traffic directly inside your OpenAI Agents SDK workflows before they hit your database.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect IPQualityScore (IPQS) MCP to OpenAI Agents SDK

Create your Vinkius account to connect IPQualityScore (IPQS) 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 IPQualityScore (IPQS) with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Flag fake signups in OpenAI Agents SDK

`email_lookup` analyzes an email address for fraud and deliverability instantly during runtime. Your agent can run this check the second a user submits their info, catching throwaway domains and high-risk registrants before they pollute your database. If the email checks out, the agent uses `phone_lookup` to verify the line type and risk indicators. This combination stops bots at the gate before they waste your API budget.

Intercept malicious traffic at the edge

`ip_lookup` analyzes an IP address for fraud and proxy detection to expose VPNs, Tor exit nodes, and residential botnets. Your safety agent can use the MCP Server to check incoming parameters and block bad actors before they interact with your application. When a suspicious domain pops up in user communications, `url_lookup` analyzes the URL for malicious activity. Your agent can scan links in real-time, preventing phishing attempts or malware distribution from reaching other users.

Track fraud trends and API quotas

`list_fraud` lists recent fraud event logs to give your security agent a clear audit trail of triggered alerts. You can direct your agent to parse these logs to spot patterns or generate daily threat summaries. To keep operations running, the MCP server provides `get_credits` to retrieve credit usage and balance information. Your agent can pair this with `list_stats` to monitor integration health and alert your team when API limits run low.

Setup guide

Set up IPQualityScore (IPQS) 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 IPQualityScore (IPQS) tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the package via pip, then initialize the server with the HTTP streaming parameter. Pass the server instance directly into your Agent constructor's server list. Set the tool caching flag to true to keep things fast.

Yes, you can configure your agent to route high-risk scores to a manual review queue. The agent reads the score from the tool output and makes routing decisions based on your threshold. This keeps your signup flow automated but secure.

Your agent can call the credit check tool to poll your remaining balance. If the balance drops below your set limit, the agent can trigger a Slack alert or switch to a fallback verification method. This prevents sudden service dropouts.

The agent intercepts the link and sends it to the URL lookup tool. If the returned risk score exceeds your safety threshold, the agent blocks the message. This protects your other users from clicking malicious links.

All sensitive data like phone numbers and email addresses are transmitted directly to the verification endpoint over encrypted TLS. Vinkius runs the MCP Server in an ephemeral sandbox, meaning no user data is written to disk or stored after the transaction completes.

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