IPQualityScore (IPQS) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect IPQualityScore (IPQS) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="IPQualityScore (IPQS) Assistant",
instructions=(
"You help users interact with IPQualityScore (IPQS). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from IPQualityScore (IPQS)"
)
print(result.final_output)
asyncio.run(main())
* 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 IPQualityScore (IPQS) MCP Server
Empower your AI agents to protect your platform with IPQualityScore (IPQS). This MCP server allows you to perform real-time lookups for IPs, emails, URLs, and phone numbers to detect fraud, bots, and high-risk activity. Ideal for automating security checks and enhancing risk management.
The OpenAI Agents SDK auto-discovers all 10 tools from IPQualityScore (IPQS) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries IPQualityScore (IPQS), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The IPQualityScore (IPQS) MCP Server exposes 10 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.
How to Connect IPQualityScore (IPQS) to OpenAI Agents SDK via MCP
Follow these steps to integrate the IPQualityScore (IPQS) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from IPQualityScore (IPQS)
Why Use OpenAI Agents SDK with the IPQualityScore (IPQS) MCP Server
OpenAI Agents SDK provides unique advantages when paired with IPQualityScore (IPQS) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
IPQualityScore (IPQS) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the IPQualityScore (IPQS) MCP Server delivers measurable value.
Automated workflows: build agents that query IPQualityScore (IPQS), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries IPQualityScore (IPQS), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through IPQualityScore (IPQS) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query IPQualityScore (IPQS) to resolve tickets, look up records, and update statuses without human intervention
IPQualityScore (IPQS) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect IPQualityScore (IPQS) to OpenAI Agents SDK via MCP:
email_lookup
Returns a risk score and validation flags. Use this to vet new user registrations and prevent fraudulent accounts. Analyzes an email address for fraud and deliverability
get_account
Use to verify plan status and current configuration. Retrieves details about your IPQS account
get_credits
Essential for ensuring the service remains active and within quota. Retrieves credit usage and balance information
ip_lookup
Returns fraud scores, proxy/VPN detection results, and geographical data. Essential for identifying malicious users or automated bots during sign-up or transaction processes. Analyzes an IP address for fraud and proxy detection
list_conversions
Useful for e-commerce and affiliate management auditing. Lists tracked conversions
list_fraud
Essential for high-level security auditing and threat monitoring. Lists recent fraud event logs
list_reports
Useful for auditing recent security triggers. Lists recent fraud reports
list_stats
Useful for monitoring integration health. Lists usage statistics for your account
phone_lookup
Returns line type and risk indicators. Use for identity verification and fraud prevention. Analyzes a phone number for fraud and risk
url_lookup
Returns a risk score and classification of the site. Use this to audit suspicious links provided by users or found in communication. Analyzes a URL for malicious activity
Example Prompts for IPQualityScore (IPQS) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with IPQualityScore (IPQS) immediately.
"Analyze the IP address 8.8.8.8 for fraud risk."
"Verify if the email address 'fraudster@test.com' is risky."
"Check this URL for potential malware: http://malicious-site.com"
Troubleshooting IPQualityScore (IPQS) MCP Server with OpenAI Agents SDK
Common issues when connecting IPQualityScore (IPQS) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
IPQualityScore (IPQS) + OpenAI Agents SDK FAQ
Common questions about integrating IPQualityScore (IPQS) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect IPQualityScore (IPQS) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect IPQualityScore (IPQS) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.