WhoisXML MCP Server for Pydantic AIGive Pydantic AI instant access to 4 tools to Check Domain Availability, Get Ip Geolocation, Get Whois Record, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect WhoisXML through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this MCP Server for Pydantic AI
The WhoisXML MCP Server for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to WhoisXML "
"(4 tools)."
),
)
result = await agent.run(
"What tools are available in WhoisXML?"
)
print(result.data)
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.
Pydantic AI validates every WhoisXML tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire WhoisXML into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the WhoisXML MCP Server
Pydantic AI provides unique advantages when paired with WhoisXML through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your WhoisXML integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your WhoisXML connection logic from agent behavior for testable, maintainable code
WhoisXML + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the WhoisXML MCP Server delivers measurable value.
Type-safe data pipelines: query WhoisXML with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple WhoisXML tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query WhoisXML and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock WhoisXML responses and write comprehensive agent tests
Example Prompts for WhoisXML in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting WhoisXML to Pydantic AI through Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiWhoisXML + Pydantic AI FAQ
Common questions about integrating WhoisXML MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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