Hotmart MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Get Sales History, Get Sales Summary, Get Student Progress, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Hotmart through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Hotmart app connector for Pydantic AI is a standout in the Ecommerce category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Hotmart "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in Hotmart?"
)
print(result.data)
asyncio.run(main())
* 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
About Hotmart MCP Server
Connect your Hotmart account to any AI agent and manage your digital product business through natural conversation.
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.
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
The Hotmart MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Hotmart tools available for Pydantic AI
When Pydantic AI connects to Hotmart through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-products, online-courses, subscription-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get sales history
Get sales summary
Get progress for a student
List all your products
List students (members)
List active subscriptions
Connect Hotmart to Pydantic AI via MCP
Follow these steps to wire Hotmart into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Hotmart MCP Server
Pydantic AI provides unique advantages when paired with Hotmart through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Hotmart integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Hotmart connection logic from agent behavior for testable, maintainable code
Hotmart + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Hotmart MCP Server delivers measurable value.
Type-safe data pipelines: query Hotmart with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Hotmart tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Hotmart and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Hotmart responses and write comprehensive agent tests
Example Prompts for Hotmart in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Hotmart immediately.
"Show all my products with sales data and the revenue summary for this month."
"Show student progress for the AI Mastery Course — who is falling behind?"
"Show the last 5 sales transactions and list all active subscriptions."
Troubleshooting Hotmart MCP Server with Pydantic AI
Common issues when connecting Hotmart to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHotmart + Pydantic AI FAQ
Common questions about integrating Hotmart MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.