How to Use the Hotmart MCP in AutoGen

Deploy AutoGen agents to debate and manage your Hotmart operations through multi-agent consensus.

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Connect Hotmart MCP to AutoGen

Create your Vinkius account to connect Hotmart to AutoGen 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 AutoGen

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Perplexity

Debate sales performance in AutoGen

Assign one agent to query `get_sales_report` while another analyzes the results. They discuss the data, ensuring your financial insights are verified by multiple perspectives. This eliminates single-point errors. By forcing agents to negotiate based on tool output, you get more reliable summaries of your store performance.

Negotiate commission payouts

Use `list_commissions` as a source of truth for your agents. One agent flags discrepancies while the other validates them against `list_sales_history`. They reach a consensus before alerting you. This prevents you from acting on unverified data or missing potential reconciliation issues.

Manage product catalogs via agent consensus

Configure your agents to review `list_products` updates before they go live. If an agent detects a pricing anomaly, it challenges the change. Only verified updates proceed. Your agents act as a gatekeeper for your Hotmart account, ensuring every change is intentional.

Setup guide

Set up Hotmart MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Hotmart tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Hotmart_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Hotmart data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Hotmart_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Hotmart data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

Absolutely. You can set up a workflow where one agent fetches data with `list_webhooks` and another agent initiates a review process for the team.

You pass the tool list directly to the AssistantAgent constructor. The adapter automatically handles the schema so your agents can invoke them during conversation.

It does. You can combine this server with other data sources, allowing your agents to cross-reference Hotmart sales with external inventory or CRM tools.

You can build a critic agent that reviews tool outputs. If the data from `get_sale_by_user` seems incomplete, the critic can demand a retry or a secondary check.

Data is processed in an isolated sandbox. We strictly control access to sensitive fields, such as transaction IDs and customer details from `list_sales_history`, ensuring they remain within the agent's conversation loop and never leak to external endpoints.

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