How to Use the IPGeolocation.io MCP in OpenAI Agents SDK
Get real-time IP threat metrics and location data inside your OpenAI Agents SDK workflows with strict safety guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IPGeolocation.io MCP to OpenAI Agents SDK
Create your Vinkius account to connect IPGeolocation.io 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.
Real-time IP intelligence and threat detection
The `get_security` tool fetches security profiles for any IP address to detect VPNs, proxies, and Tor exit nodes instantly. Your agent checks this data before completing sensitive tasks, preventing fraud at the network level. You can also trigger `get_abuse` to locate abuse contact details for malicious IPs. The OpenAI Agents SDK lets you pass this data between specialized security agents, ensuring that suspicious traffic gets flagged and routed to the correct sub-agent for quarantine.
Batch processing via MCP Server
The `bulk_security` tool analyzes up to 50 IP addresses in a single API call to identify malicious actors across your server logs. Instead of making sequential requests, your agent processes batch security audits in one shot. You can pair this with `bulk_user_agent` to parse multiple browser strings simultaneously. This MCP Server setup handles the heavy lifting, giving your agent the exact device and OS breakdowns it needs to flag automated scraping bots.
Localized time and astronomical calculations
The `get_timezone` tool retrieves local time details for any geographic coordinate or IP address. If you are scheduling automated tasks across different regions, your agent uses this data to avoid off-hours notifications. You can also run `convert_timezone` to calculate precise time differences between multiple locations. When combined with `get_astronomy`, your agent tracks sunrise, sunset, and twilight times to adjust operational schedules based on local daylight hours.
Set up IPGeolocation.io MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all IPGeolocation.io tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives IPGeolocation.io tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate IPGeolocation.io tools and returns structured results. Copy the full example on the right to get started.
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="IPGeolocation.io Agent",
instructions="You have access to IPGeolocation.io 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 IPGeolocation.io. 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.
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Common questions about IPGeolocation.io MCP in OpenAI Agents SDK
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