IP Address Parser MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Parse Ip Address
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect IP Address Parser 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 for OpenAI Agents SDK
The IP Address Parser MCP Server for OpenAI Agents SDK is a standout in the Loved By Devs category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="IP Address Parser Assistant",
instructions=(
"You help users interact with IP Address Parser. "
"You have access to 1 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from IP Address Parser"
)
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 IP Address Parser MCP Server
A security agent receives the IP 10.0.14.7 and needs to know: is this a private address? Can it reach the internet? What CIDR block does it belong to? Ask an AI and you'll get a confident but often wrong answer.
The OpenAI Agents SDK auto-discovers all 1 tools from IP Address Parser through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries IP Address Parser, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
This MCP uses ipaddr.js (30M+ weekly downloads) — the exact same library that Express.js, Koa, and Fastify use to parse IP addresses in production. Every classification follows RFC 5735 and RFC 4291.
The Superpowers
- Range Classification: Instantly know if an IP is unicast, private, loopback, multicast, linkLocal, or unspecified — no RFC memorization needed.
- CIDR Parsing: Pass
10.0.0.0/8and get the network address, prefix length, and address kind. - Dual Stack: Full IPv4 and IPv6 support with automatic format detection.
- IPv4↔IPv6 Conversion: Convert
192.168.1.1to its IPv4-mapped IPv6 representation::ffff:192.168.1.1and back.
The IP Address Parser MCP Server exposes 1 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 IP Address Parser tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to IP Address Parser through Vinkius, your AI agent gets direct access to every tool listed below — spanning ipv4, ipv6, cidr, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Parse ip address on IP Address Parser
The engine uses ipaddr.js (30M+ downloads) which is the standard IP parsing library used by Express.js and Koa. Validates and parses IPv4/IPv6 addresses. Supports CIDR notation, range detection, and IPv4↔IPv6 conversion
Connect IP Address Parser to OpenAI Agents SDK via MCP
Follow these steps to wire IP Address Parser into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the IP Address Parser MCP Server
OpenAI Agents SDK provides unique advantages when paired with IP Address Parser 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
IP Address Parser + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the IP Address Parser MCP Server delivers measurable value.
Automated workflows: build agents that query IP Address Parser, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries IP Address Parser, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through IP Address Parser tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query IP Address Parser to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for IP Address Parser in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with IP Address Parser immediately.
"Our firewall received a connection from 10.0.14.7. Is this an internal or external IP?"
"Parse the VPC subnet 172.31.0.0/16 for our AWS infrastructure documentation."
"Convert our on-prem server 192.168.1.100 to IPv6 format for the dual-stack migration."
Troubleshooting IP Address Parser MCP Server with OpenAI Agents SDK
Common issues when connecting IP Address Parser to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
IP Address Parser + OpenAI Agents SDK FAQ
Common questions about integrating IP Address Parser 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?
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