Bring Digital Products
to Pydantic AI
Learn how to connect Hotmart to Pydantic AI and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Hotmart MCP Server?
Connect your Hotmart account to any AI agent and manage your digital product business through natural conversation.
What you can do
- Product Catalog — List all your digital products (courses, ebooks, memberships) with pricing and status
- Sales History — Browse all transactions with status, buyer details, and commission breakdowns
- Revenue Summary — Get aggregated sales data including total revenue, number of sales, and average ticket
- Subscription Management — List all active subscriptions with renewal dates and payment status
- Student Tracking — Browse all enrolled students and inspect individual course completion progress
How it works
1. Subscribe to this server
2. Enter your Hotmart Client ID and Client Secret from the developer portal
3. Start managing your products from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Digital Creators — monitor product sales, track student engagement, and review revenue without opening the Hotmart dashboard
- Course Authors — check student progress, identify drop-off points, and manage subscriber lists
- Affiliate Managers — review sales commissions, track affiliate performance, and audit transaction histories
Built-in capabilities (6)
Get sales history
Get sales summary
Get progress for a student
List all your products
List students (members)
List active subscriptions
Why Pydantic AI?
Pydantic AI validates every Hotmart tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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 Hotmart 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 Hotmart connection logic from agent behavior for testable, maintainable code
Hotmart in Pydantic AI
Hotmart and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Hotmart 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 Hotmart in Pydantic AI
The Hotmart 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 6 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
Hotmart for Pydantic AI
Every tool call from Pydantic AI to the Hotmart MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I track how many students completed my course?
Yes. Use list_students to see all enrolled students across your products. Then use get_student_progress with a Student ID to see their course completion percentage, modules accessed, and last activity date. This helps identify students at risk of dropping off.
Does Hotmart require two credentials for authentication?
Yes. Hotmart uses OAuth 2.0 Client Credentials flow. You need a Client ID and a Client Secret, generated in the Hotmart Developer Portal. These are used to obtain a Bearer token automatically — the server handles token exchange internally.
Can I view a detailed breakdown of my sales revenue?
Yes. Use get_sales_summary for aggregated data including total revenue, number of sales, and average ticket. Use get_sales_history for individual transactions with status, price breakdowns, commissions, and buyer information. Combine with list_products to correlate revenue per product.
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 Hotmart MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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