Bring Url Parsing
to Pydantic AI
Learn how to connect Public Suffix Extractor to Pydantic AI and start using 1 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 Public Suffix Extractor MCP Server?
When an analytics agent processes URLs, it cannot guess that in app.vinkius.co.uk the TLD is .co.uk (not .uk). This MCP uses the official Mozilla Public Suffix List to fragment hostnames with 100% accuracy.
The Superpowers
- Official List: Uses the same Public Suffix List maintained by Mozilla and used by every major browser.
- Complex TLDs: Correctly handles .co.uk, .com.br, .org.au, .amazonaws.com, and 9,000+ other suffixes.
Built-in capabilities (1)
The AI cannot reliably determine that the TLD of "app.vinkius.co.uk" is ".co.uk" (not ".uk"). This engine uses the official Mozilla Public Suffix List to fragment hostnames with 100% accuracy. Extracts the true root domain, TLD, subdomain, and SLD from any hostname using the official Mozilla Public Suffix List. Handles complex TLDs like .co.uk, .com.br correctly
Why Pydantic AI?
Pydantic AI validates every Public Suffix Extractor tool response against typed schemas, catching data inconsistencies at build time. Connect 1 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 Public Suffix Extractor 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 Public Suffix Extractor connection logic from agent behavior for testable, maintainable code
Public Suffix Extractor in Pydantic AI
Public Suffix Extractor and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Public Suffix Extractor 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 Public Suffix Extractor in Pydantic AI
The Public Suffix Extractor 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 1 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
Public Suffix Extractor for Pydantic AI
Every tool call from Pydantic AI to the Public Suffix Extractor MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Why can't I just split the domain by dots?
Because TLDs like .co.uk, .com.br, and .org.au have multiple parts. Splitting by dots would incorrectly identify the root domain. The PSL has 9,000+ entries.
Does it handle cloud provider domains?
Yes. Domains like *.amazonaws.com, *.azurewebsites.net, and *.cloudfront.net are in the PSL and handled correctly.
Can I pass a full URL with protocol and path?
Yes. The engine automatically strips the protocol (http/https), path, and query parameters before parsing.
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 Public Suffix Extractor 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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