Bring Domain Intelligence
to Pydantic AI
Learn how to connect WhoisXML to Pydantic AI and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the WhoisXML MCP Server?
Connect the WhoisXML API to your AI agent to perform deep network reconnaissance and data validation through natural language.
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.
How it works
- Subscribe to this server
- Enter your WhoisXML API Key
- Start querying domain and network data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Security Researchers — Quickly investigate suspicious domains or IP addresses during incident response.
- Developers — Integrate domain availability and email validation checks into your workflow without leaving the editor.
- Marketers & Sales — Verify lead lists and research company domain ownership for better outreach.
Built-in capabilities (4)
Check if a domain name is available for registration
Get location data for an IP address
Get parsed and raw WHOIS data for a domain
Check if an email address is valid and exists
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your WhoisXML integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your WhoisXML connection logic from agent behavior for testable, maintainable code
WhoisXML in Pydantic AI
WhoisXML and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect WhoisXML to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for WhoisXML in Pydantic AI
The WhoisXML 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
WhoisXML for Pydantic AI
Every tool call from Pydantic AI to the WhoisXML MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check if a domain is available for registration?
Yes! Use the check_domain_availability tool. It provides a lightweight check to see if a specific domain name is currently available.
How do I find the physical location of an IP address?
Simply use the get_ip_geolocation tool with the target IP. The agent will return the country, city, latitude, longitude, and ISP information.
Can this tool detect disposable or fake email addresses?
Yes. The verify_email tool checks email syntax, MX records, and SMTP connections, and specifically flags disposable email providers.
How does Pydantic AI discover MCP tools?
Create an 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?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your WhoisXML MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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