How to Use the Hotmart MCP in CrewAI

Q: How do I connect the Hotmart MCP Server to a CrewAI agent?

You pass the Vinkius HTTP URL directly into the agent's mcps parameter during initialization. This instantly exposes the Hotmart tools to that specific agent.

Deploy specialized AI agent crews to manage your Hotmart sales reports and track student progress autonomously using this MCP Server.

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Connect Hotmart MCP to CrewAI

Create your Vinkius account to connect Hotmart to CrewAI 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 CrewAI

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Perplexity

Run autonomous student retention crews

The `get_student_progress` tool provides detailed completion metrics for individual course modules. CrewAI assigns this tool to a dedicated Auditor Agent, which analyzes where students are getting stuck. A second Support Agent then takes those findings and drafts targeted study tips. This team of agents works together without you needing to write complex conditional code. They share context and memory, ensuring the advice they generate matches the student's actual progress.

Automated sales analysis with CrewAI

The `get_sales_summary` tool fetches overall revenue, refund rates, and purchase counts. CrewAI uses this data to fuel an Analyst Agent that identifies your highest-performing digital products. By comparing these numbers against previous weeks, the agent spots emerging trends. You get a weekly performance report written by your agent crew without lifting a finger. They handle the raw data extraction and summarize the key takeaways for your team.

Product catalog synchronization

The `list_products` tool retrieves the full list of your active digital offers. When you launch a new course, your CrewAI agent crew detects the addition and updates your marketing channels. One agent checks the product details while another drafts promotional copy. This keeps your external channels perfectly aligned with your actual offers. The autonomous loop runs in the background, making sure your catalog stays synchronized.

Setup guide

Set up Hotmart MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Hotmart tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Hotmart Analyst",
    goal="Access and analyze Hotmart data via MCP.",
    backstory="Expert analyst with direct Hotmart access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Hotmart transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Hotmart Analyst",
        goal="Access and analyze Hotmart data via MCP.",
        backstory="Expert analyst with direct Hotmart access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Hotmart transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

You pass the Vinkius HTTP URL directly into the agent's `mcps` parameter during initialization. This instantly exposes the Hotmart tools to that specific agent.

Yes, you can configure your crew so that both your sales analyst and student support agents have access to the Hotmart MCP Server. They will use the tools based on their assigned roles.

CrewAI manages tool execution sequentially or hierarchically. By structuring your crew's tasks, you prevent multiple agents from hitting the Hotmart API simultaneously and triggering limits.

No, you don't need any custom wrappers. The MCP Server translates the Hotmart API into standard tools that CrewAI's Python framework understands out of the box.

Your subscription lists and customer details are secured via zero-trust network protocols. Vinkius handles all API requests within ephemeral V8 sandboxes, meaning your sensitive customer data is never written to disk or exposed to external networks.

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