How to Use the IP2WHOIS MCP in LangChain

Chain together domain investigations in LangChain using real-time registration data and automated WHOIS lookups.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect IP2WHOIS MCP to LangChain

Create your Vinkius account to connect IP2WHOIS to LangChain 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 IP2WHOIS with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate domain triage in LangChain chains

Trigger `bulk_whois_lookup` within your agentic pipelines to process hundreds of domains without manual intervention. The output feeds directly into your next processing step, allowing for rapid filtering of suspicious infrastructure. Your agent handles the logic flow, moving from bulk discovery to specific analysis. This removes the wait time associated with manual data gathering across multiple registries.

Validate infrastructure with LangChain agents

Use `check_domain_age` and `check_domain_expiry` to qualify the reputation of a domain before your agent proceeds. If a domain is too young or nearing expiration, the agent can branch to a verification task. This keeps your reasoning chains tight and focused on relevant indicators. You avoid wasted cycles on domains that don't meet your security thresholds.

Map hosting patterns for LangChain analysis

Identify shared hosting environments by calling `lookup_hosted_domains` inside your agent workflow. You can quickly see if an IP is acting as a hub for multiple malicious sites. Feed these results back into your vector stores or databases for long-term correlation. It turns raw IP data into actionable intelligence for your entire stack.

Setup guide

Set up IP2WHOIS MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes IP2WHOIS tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "ip2whois-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent IP2WHOIS transactions"
    })
    print(result["messages"][-1].content)

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 IP2WHOIS. 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 IP2WHOIS 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 IP2WHOIS MCP in LangChain

Connect the server via the MCP adapter and pass the tools to your agent's tool list. Your agent can then invoke any lookup function as part of its standard reasoning loop.

Yes. You can build logic into your LangChain chains to check `check_ip2whois_status` before starting a large batch process, ensuring your API credits aren't wasted.

Every tool returns JSON that LangChain understands natively. This means you don't need custom parsers to move data between steps.

The server transmits only the specific domain request to the provider. It doesn't store your query history or agent data.

The MCP tool returns a standardized error code. Your LangChain agent can catch this and decide whether to retry or flag the domain for manual review.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python