Compatible with every major AI agent and IDE
What is the Foxentry MCP Server?
Connect your Foxentry data intelligence account to any AI agent and simplify how you clean your contact lists, verify identity data, and lookup business registrations through natural conversation.
What you can do
- Email Validation — Instantly check if an email address is valid, active, and safe for your outreach campaigns.
- Phone Intelligence — Verify phone numbers and formats globally to ensure your communication reaches the right recipient.
- Address Autocomplete — Validate physical addresses and retrieve structured geographic metadata and zip codes via AI.
- Business Lookup — Fetch official company data, including registration names and registered addresses, using ID numbers.
- Name Analysis — Verify person names and automatically identify gender and name components (first, last, degree).
- Data Accuracy — Enhance your CRM records with verified real-time data directly from the agent.
How it works
- Subscribe to this server
- Enter your Foxentry API Key (found in your account settings)
- Start validating your audience data from Claude, Cursor, or any MCP client
Who is this for?
- Sales & Marketing Teams — quickly verify lead data and clean contact lists via simple AI commands.
- Finance & Admin Staff — lookup company registration details and verify billing addresses directly from the workspace.
- Developers — test data validation logic and verify API responses via the AI assistant.
Built-in capabilities (12)
Verify connectivity
Format phone
Geocode address
Get business details
Lookup business
Suggest address
Suggest email
Suggest name
Validate address
Validate email
Validate name
Validate phone
Why Pydantic AI?
Pydantic AI validates every Foxentry tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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.
- —
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 Foxentry integration code
- —
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 Foxentry connection logic from agent behavior for testable, maintainable code
Foxentry in Pydantic AI
Foxentry and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Foxentry 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 Foxentry in Pydantic AI
The Foxentry 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 12 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
Foxentry for Pydantic AI
Every tool call from Pydantic AI to the Foxentry MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I verify if a physical address is valid via AI?
Yes! Use the validate_physical_address tool and provide the address string. Your agent will return the structured, autocompleted data and verification status.
How do I check if an email address is active using the agent?
Use the validate_email tool. Provide the address, and Foxentry will check for syntax, domain validity, and if the specific mailbox actually exists.
Is it possible to retrieve business data using a registration number via AI?
Absolutely. Use the lookup_business_data query and provide the registration number. The agent will retrieve official company names and registered addresses.
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 Foxentry 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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