Bring Referral Marketing
to Pydantic AI
Learn how to connect Referrizer to Pydantic AI and start using 11 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 Referrizer MCP Server?
Connect your Referrizer account to any AI agent and simplify your referral marketing, customer loyalty, and retention workflows through natural conversation.
What you can do
- Contact Management — List all customers and contacts, retrieve detailed profile metadata, and monitor loyalty points and status
- Referral Tracking — Access a history of successful and pending customer referrals to understand your word-of-mouth growth
- Campaign Control — Query past and active marketing automation campaigns to monitor your outreach performance
- Loyalty Rewards — List available rewards and incentives to choose the right context for each interaction
- Direct Enrollment — Register new contacts and customers programmatically directly from your agent
How it works
- Subscribe to this server
- Enter your Referrizer API Key from your account settings
- Start managing your referral engine from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (11)
Register a new contact
Get details for a referral campaign
Get details for a specific contact
Get details for a specific referral
Get details for a specific reward
List Referrizer contacts
List available rewards
List marketing campaigns
List referrals
List all reward transactions
Update a contact profile
Why Pydantic AI?
Pydantic AI validates every Referrizer tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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 Referrizer 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 Referrizer connection logic from agent behavior for testable, maintainable code
Referrizer in Pydantic AI
Referrizer and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Referrizer 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 Referrizer in Pydantic AI
The Referrizer 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 11 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
Referrizer for Pydantic AI
Every tool call from Pydantic AI to the Referrizer MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I list all my customer referrals using my AI agent?
Yes! Use the list_referral_history tool to retrieve a comprehensive list of all successful and pending referrals in your account.
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 Referrizer 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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