How to Use the WhoisXML MCP in LlamaIndex
Index WhoisXML data for search: Knowledge-augmented AI with LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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 Your RAG application combines live API data points (like availability) with historical documents for one unified query.
Set up WhoisXML MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all WhoisXML MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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
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