Bring Recurring Payments
to Pydantic AI
Learn how to connect MoonClerk to Pydantic AI and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the MoonClerk MCP Server?
Connect your MoonClerk account to any AI agent to streamline your payment monitoring and customer oversight. MoonClerk provides a robust API for programmatically retrieving your payment records, customer plan details, and active payment forms.
What you can do
- Customer Monitoring — List all your customers (plans) and retrieve detailed metadata including status and plan types
- Payment Tracking — Access your full payment history and monitor the status of recurring and one-time transactions
- Form Orchestration — List all your active payment forms and retrieve their public URLs and configurations
- Coupon Intelligence — Access your list of active coupons to understand your promotional landscape
- Real-time Oversight — Get a comprehensive overview of your payment volume and customer growth using natural language commands
How it works
1. Subscribe to this server
2. Enter your MoonClerk API Key from your account settings
3. Start monitoring your payments from Claude, Cursor, or any MCP client
Who is this for?
- Finance Managers — monitor transaction statuses and payment volumes using natural language
- Business Owners — get a real-time overview of customer growth and form performance
- Developers — integrate real-time payment data into custom financial dashboards
Built-in capabilities (7)
Get customer details
Get form details
Get payment details
List all coupons
List all MoonClerk customers
List all payment forms
List all payments
Why Pydantic AI?
Pydantic AI validates every MoonClerk tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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 MoonClerk 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 MoonClerk connection logic from agent behavior for testable, maintainable code
MoonClerk in Pydantic AI
MoonClerk and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect MoonClerk 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 | 3,400+ 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 MoonClerk in Pydantic AI
The MoonClerk 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 7 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
MoonClerk for Pydantic AI
Every tool call from Pydantic AI to the MoonClerk MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I get my MoonClerk API Key?
Log in to your MoonClerk account, navigate to the Settings > API section, and generate a new API token.
Is the API read-only?
Yes, currently the MoonClerk API is primarily for retrieving data (customers, payments, forms). For creating records, please use the MoonClerk dashboard.
Can I track recurring payments?
Absolutely. The list_payments tool retrieves both one-time and recurring payments, allowing you to monitor your subscription health.
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 MoonClerk MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai