How to Use the Hotmart MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK work with Hotmart sales data?

Your agent can call tools like getsaleshistory through the MCP server. The SDK ensures these actions are controlled and traced, so you can safely build automations that report on your Hotmart revenue.

Q: How do I start using the Hotmart MCP server with the OpenAI Agents SDK?

First, pip install openai-agents. Then, instantiate the server client with your Vinkius URL and pass it to your Agent's constructor in the mcpservers list. The tools will be available immediately.

Q: How is my Hotmart student and sales data protected?

Your data, including student names from liststudents and transaction details from getsaleshistory, is streamed through an ephemeral, sandboxed environment on Vinkius. The connection is encrypted, and we don't store your data after the agent's job is done.

Connect your OpenAI Agent to Hotmart. Get sales and student data with built-in guardrails for safe, production-ready actions.

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Connect Hotmart MCP to OpenAI Agents SDK

Create your Vinkius account to connect Hotmart to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Hotmart with OpenAI Agents SDK

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Get Sales Data Safely

This toolset gives your agent read-only access to your Hotmart sales data. It can call `get_sales_history` to pull transaction records or `get_sales_summary` for a high-level view of your revenue. Because you're using the OpenAI Agents SDK, every action is logged and can be reviewed. Your agent can't accidentally modify or delete anything. You get the data you need for your reports without giving up control.

Track Student Progress with Agent Handoffs

Figure out which students are falling behind. A discovery agent can `list_students` for a specific course, then hand off that list to a specialized analysis agent. That second agent can then loop through the list, calling `get_student_progress` for each person to check their status. It's a clean way to break down a complex task, and the OpenAI dashboard gives you a full trace of the entire operation.

Auto-Discover Tools with this MCP Server

Connecting your agent is straightforward. Just pass the Vinkius MCP Server URL to the `MCPServerStreamableHttp` constructor in your Python code. The OpenAI Agent automatically discovers all available tools like `list_products` and `list_subscriptions` with zero extra configuration. Set `cacheToolsList=True` in the constructor for better performance on subsequent runs.

Setup guide

Set up Hotmart MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Hotmart tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Hotmart tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Hotmart tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Hotmart Agent",
            instructions="You have access to Hotmart tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hotmart. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Hotmart MCP in OpenAI Agents SDK

Your agent can call tools like `get_sales_history` through the MCP server. The SDK ensures these actions are controlled and traced, so you can safely build automations that report on your Hotmart revenue.

Yes. While the server exposes all tools by default, you can implement logic in your agent's code to restrict its actions to a specific subset, like only allowing it to call `get_sales_summary`.

First, `pip install openai-agents`. Then, instantiate the server client with your Vinkius URL and pass it to your Agent's constructor in the `mcp_servers` list. The tools will be available immediately.

Yes. This MCP server provides a standardized interface that your agent understands out of the box. You don't have to write custom code for authentication or to parse Hotmart's specific API responses.

Your data, including student names from `list_students` and transaction details from `get_sales_history`, is streamed through an ephemeral, sandboxed environment on Vinkius. The connection is encrypted, and we don't store your data after the agent's job is done.

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