IPGeolocation (IP Intelligence & Time) MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect IPGeolocation (IP Intelligence & Time) 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="IPGeolocation (IP Intelligence & Time) Assistant",
instructions=(
"You help users interact with IPGeolocation (IP Intelligence & Time). "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from IPGeolocation (IP Intelligence & Time)"
)
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 IPGeolocation (IP Intelligence & Time) MCP Server
Connect your IPGeolocation.io account to any AI agent and take full control of global IP intelligence and time-based analytics through natural conversation.
The OpenAI Agents SDK auto-discovers all 3 tools from IPGeolocation (IP Intelligence & Time) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries IPGeolocation (IP Intelligence & Time), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- IP Intelligence — Resolve IPv4 or IPv6 addresses to precise geographic locations, including city, country, and GPS coordinates directly from your agent
- Network Audit — Extract detailed ISP information, organization names, and connection types to identify the infrastructure behind any IP request
- Timezone Analytics — Retrieve precise local time, UTC offsets, and Daylight Saving Time (DST) status for any global location or coordinate set
- Astronomy Data — Access planetary metrics including sunrise, sunset, and moon phases for specific Earth locations to power context-aware applications
- Financial Localization — Get local currency details, including names and symbols, associated with an IP's detected jurisdiction for localized pricing audits
- Geo-Spatial Tools — Perform location and astronomy lookups using direct latitude and longitude coordinates when an IP address is not available
The IPGeolocation (IP Intelligence & Time) MCP Server exposes 3 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 IPGeolocation (IP Intelligence & Time) to OpenAI Agents SDK via MCP
Follow these steps to integrate the IPGeolocation (IP Intelligence & Time) 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 3 tools from IPGeolocation (IP Intelligence & Time)
Why Use OpenAI Agents SDK with the IPGeolocation (IP Intelligence & Time) MCP Server
OpenAI Agents SDK provides unique advantages when paired with IPGeolocation (IP Intelligence & Time) 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
IPGeolocation (IP Intelligence & Time) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the IPGeolocation (IP Intelligence & Time) MCP Server delivers measurable value.
Automated workflows: build agents that query IPGeolocation (IP Intelligence & Time), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries IPGeolocation (IP Intelligence & Time), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through IPGeolocation (IP Intelligence & Time) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query IPGeolocation (IP Intelligence & Time) to resolve tickets, look up records, and update statuses without human intervention
IPGeolocation (IP Intelligence & Time) MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect IPGeolocation (IP Intelligence & Time) to OpenAI Agents SDK via MCP:
get_astronomy
Retrieve astronomy data like sunrise and moon phases
get_location
Retrieve comprehensive geolocation data for an IP address
get_timezone
Get precise local time and timezone information
Example Prompts for IPGeolocation (IP Intelligence & Time) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with IPGeolocation (IP Intelligence & Time) immediately.
"Resolve the location for IP address '8.8.8.8'"
"What is the current local time and UTC offset in Tokyo?"
"Show me the sunrise and sunset times for Lisbon today"
Troubleshooting IPGeolocation (IP Intelligence & Time) MCP Server with OpenAI Agents SDK
Common issues when connecting IPGeolocation (IP Intelligence & Time) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
IPGeolocation (IP Intelligence & Time) + OpenAI Agents SDK FAQ
Common questions about integrating IPGeolocation (IP Intelligence & Time) 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 IPGeolocation (IP Intelligence & Time) 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 IPGeolocation (IP Intelligence & Time) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.