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How to Use the WhoisXML MCP in LlamaIndex

Index WhoisXML data for search: Knowledge-augmented AI with LlamaIndex.

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LlamaIndex

Connect WhoisXML MCP to LlamaIndex

Create your Vinkius account to connect WhoisXML to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Indexing Domain Intelligence in LlamaIndex

The `get_whois_record` tool output becomes part of your searchable knowledge base. Instead of just calling the API, you index the detailed ownership history for later querying. This means you can ask complex questions like 'What were the previous owners of this domain?' and get an answer grounded in actual WHOIS data.

Creating Queryable IP Geolocation Data

You use `get_ip_geolocation` to gather location details for various IPs. By indexing these results, your LlamaIndex application builds a knowledge graph of where specific network addresses are located. Later queries can retrieve this geographical data without needing a live API call—it's in the index.

Combining Domain Checks with MCP Server Indexing

Need to know if a domain is available? Run `check_domain_availability` and immediately save that boolean result. The resulting data point is added to your knowledge store alongside other records. Your RAG application combines live API data points (like availability) with historical documents for one unified query.

Setup guide

Set up WhoisXML MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all WhoisXML MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to WhoisXML tools.",
)
response = await agent.run("List recent WhoisXML data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WhoisXML API. 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.

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Common questions about WhoisXML MCP in LlamaIndex

LlamaIndex doesn't just pass the WHOIS record; it indexes it. This means you build a searchable knowledge base from that raw text, allowing semantic search over historical records.
Yes. Because the MCP tool output becomes part of your vector store, you can query previous sessions or configurations and get answers grounded in that actual API data.
It does. You combine live WHOIS records with documents in a single index. This lets you search across both unstructured text and highly structured API results.
The server handles domain name availability, IP geolocation, raw WHOIS records, and email validation status. All these types are indexed for retrieval.
This MCP Server deals with network identifiers and ownership details: domain names, IP addresses, and WHOIS records. The index stores these results securely for your application.

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