How to Use the IP2WHOIS MCP in LlamaIndex
Index live domain registration data into LlamaIndex to ground your RAG applications in verifiable facts.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IP2WHOIS MCP to LlamaIndex
Create your Vinkius account to connect IP2WHOIS 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.
Build a searchable index with LlamaIndex
Feed the output of `lookup_domain_whois` directly into your LlamaIndex vector store. You create a persistent knowledge base of domain ownership that your agent can query anytime. Stop relying on stale training data. Your application accesses the live state of the registry whenever it needs to verify a domain's identity.
Ground AI responses using LlamaIndex and MCP
When your agent needs to justify a security decision, it calls `get_registrar_info` to retrieve authoritative data. This data is indexed, providing a clear citation for the agent's conclusions. You eliminate hallucinations by forcing the agent to look up the source of truth. The resulting answers are grounded in real-time records.
Monitor domain changes via LlamaIndex
Run periodic checks using `check_domain_expiry` and store the results in your index. You can then ask your agent to report on domains that require immediate renewal. This turns a static monitoring task into a dynamic conversation with your knowledge base. Your agent keeps track of the schedule for you.
Set up IP2WHOIS 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 IP2WHOIS 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 IP2WHOIS tools.",
)
response = await agent.run("List recent IP2WHOIS data") 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.
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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.
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place for every integration
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Common questions about IP2WHOIS MCP in LlamaIndex
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