WhoisXML MCP Server for LlamaIndexGive LlamaIndex instant access to 4 tools to Check Domain Availability, Get Ip Geolocation, Get Whois Record, and more

Name: WhoisXML
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add WhoisXML as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The WhoisXML MCP Server for LlamaIndex is a standout in the Fort Knox category — giving your AI agent 4 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to WhoisXML. "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in WhoisXML?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine WhoisXML tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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

Check domain availability on WhoisXML

Check if a domain name is available for registration

get

Get ip geolocation on WhoisXML

Get location data for an IP address

get

Get whois record on WhoisXML

Get parsed and raw WHOIS data for a domain

verify

Verify email on WhoisXML

Check if an email address is valid and exists

Connect WhoisXML to LlamaIndex via MCP

Follow these steps to wire WhoisXML into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 4 tools from WhoisXML

Why Use LlamaIndex with the WhoisXML MCP Server

LlamaIndex provides unique advantages when paired with WhoisXML through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine WhoisXML tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain WhoisXML tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query WhoisXML, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what WhoisXML tools were called, what data was returned, and how it influenced the final answer

WhoisXML + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the WhoisXML MCP Server delivers measurable value.

Hybrid search: combine WhoisXML real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query WhoisXML to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying WhoisXML for fresh data

Analytical workflows: chain WhoisXML queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for WhoisXML in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting WhoisXML to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

WhoisXML + LlamaIndex FAQ

Common questions about integrating WhoisXML MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query WhoisXML tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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