How to Use the Hotmart MCP in AutoGen

Q: How do I initialize Hotmart MCP tools in AutoGen?

Use mcpservertools with StreamableHttpServerParams to fetch the endpoints. The McpToolAdapter automatically converts the schemas for your AssistantAgent.

Deploy debating AutoGen agents to analyze your Hotmart MCP Server metrics and negotiate business decisions.

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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

Ask AI about this MCP

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Claude

Perplexity

Multi-agent revenue deliberation

The `get_sales_summary` tool gives your AutoGen agents the raw numbers they need to argue about business strategy. A finance agent pulls the data while a marketing agent reviews the trends. They debate the results until they reach a consensus on next month's ad spend. If they spot a discrepancy, they trigger `get_sales_history` to dig into individual transactions. The agents challenge each other's interpretations of refund rates and upsell conversions before presenting a final, negotiated report to you.

Automated consensus on student drop-offs

The `get_student_progress` tool feeds completion metrics into a specialized agent conversation. One agent advocates for aggressive email follow-ups, while a retention agent pushes for a softer community approach. They use `list_students` to build cohorts and test their hypotheses. The framework forces them to deliberate. You get a well-reasoned action plan that considers multiple perspectives instead of a single, blind recommendation.

Hotmart MCP Server subscription auditing

The `list_subscriptions` tool lets your agents audit your recurring revenue health. A security agent checks for failed payments while a growth agent looks for upgrade opportunities. They cross-reference this data using `list_products` to see which one-off courses drive the most membership signups. The AutoGen framework ensures both agents agree on the correlation before logging the final strategy document.

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

Use mcp_server_tools with StreamableHttpServerParams to fetch the endpoints. The McpToolAdapter automatically converts the schemas for your AssistantAgent.

Yes. You pass the tools list to the constructor of any agent that needs it. They can independently call get_sales_summary during their debates.

The framework supports both stdio and Streamable HTTP transports. You can configure the connection based on your deployment environment.

Single agents jump to conclusions. By forcing a marketing agent and a finance agent to debate your get_student_progress numbers, you get a much more rigorous analysis.

The platform operates completely statelessly. When your AutoGen group pulls active billing records via list_subscriptions, the data exists only in memory during the conversation. Vinkius retains zero payload history.

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