WhoisXML MCP Server for LangChainGive LangChain instant access to 4 tools to Check Domain Availability, Get Ip Geolocation, Get Whois Record, and more
LangChain is the leading Python framework for composable LLM applications. Connect WhoisXML through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The WhoisXML MCP Server for LangChain is a standout in the Fort Knox category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"whoisxml": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using WhoisXML, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 WhoisXML MCP Server
Connect the WhoisXML API to your AI agent to perform deep network reconnaissance and data validation through natural language.
LangChain's ecosystem of 500+ components combines seamlessly with WhoisXML through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- WHOIS Lookups — Retrieve parsed and raw registration data, including registrar info and creation dates for any domain.
- IP Geolocation — Instantly identify the country, city, ISP, and coordinates of any IP address.
- Email Verification — Validate email syntax, check MX records, and detect disposable addresses to ensure data quality.
- Domain Availability — Perform lightweight checks to see if a domain name is available for registration.
The WhoisXML MCP Server exposes 4 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 WhoisXML tools available for LangChain
When LangChain connects to WhoisXML through Vinkius, your AI agent gets direct access to every tool listed below — spanning domain-intelligence, whois, ip-geolocation, 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.
Check domain availability on WhoisXML
Check if a domain name is available for registration
Get ip geolocation on WhoisXML
Get location data for an IP address
Get whois record on WhoisXML
Get parsed and raw WHOIS data for a domain
Verify email on WhoisXML
Check if an email address is valid and exists
Connect WhoisXML to LangChain via MCP
Follow these steps to wire WhoisXML into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the WhoisXML MCP Server
LangChain provides unique advantages when paired with WhoisXML through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine WhoisXML MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across WhoisXML queries for multi-turn workflows
WhoisXML + LangChain Use Cases
Practical scenarios where LangChain combined with the WhoisXML MCP Server delivers measurable value.
RAG with live data: combine WhoisXML tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query WhoisXML, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain WhoisXML tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every WhoisXML tool call, measure latency, and optimize your agent's performance
Example Prompts for WhoisXML in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with WhoisXML immediately.
"Get the WHOIS record for google.com."
"Where is the IP address 8.8.8.8 located?"
"Verify if the email test@example.com is valid."
Troubleshooting WhoisXML MCP Server with LangChain
Common issues when connecting WhoisXML to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWhoisXML + LangChain FAQ
Common questions about integrating WhoisXML MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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