How to Use the Hotmart MCP in CrewAI

Q: How can a CrewAI team analyze Hotmart sales data?

Assign one agent the getsalesreport tool for big-picture analysis and another agent the listsaleshistory tool for details. The first agent can delegate questionable transaction IDs to the second, letting your CrewAI team audit your Hotmart sales automatically.

Q: Can I create a CrewAI agent that only monitors my Hotmart affiliates?

Yes. Create an agent and use the toolfilter to give it access to only the listaffiliates and listcommissions tools from this MCP server. This creates a specialized agent that can't access any other Hotmart data.

Deploy autonomous agent crews on your Hotmart data with CrewAI. Delegate sales monitoring, affiliate analysis, and financial reporting.

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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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The Autonomous Finance Crew

Assign roles to a team of agents to manage your Hotmart finances. A 'Reporting' agent can run `get_sales_report` for a high-level overview. A 'Forensic' agent can then use `list_sales_history` and `list_payments` to dig into specific transaction details. The crew works together. If the 'Forensic' agent finds a payment that doesn't match a sale, it can delegate the issue to a 'Notification' agent to alert your finance team. This is automated, collaborative analysis in action.

Your Affiliate Management Team

Set up a crew to oversee your entire affiliate program. An 'Onboarding' agent could monitor `list_affiliates` for new partners. A 'Performance' agent can then track their progress by pulling data with `list_commissions`. This isn't just data pulling; it's a system. The 'Performance' agent can identify top-performing affiliates and pass that list to another agent for analysis. This MCP server gives your CrewAI team the raw data they need to operate.

A CrewAI Monitoring System

Delegate system health checks to a dedicated agent crew. One agent's only job is to run `list_webhooks` every hour to make sure your integrations haven't been changed or broken. It's a simple, reliable watchdog. Another agent in the same crew could use `list_products` to find items that are no longer for sale and cross-reference them against your marketing site. CrewAI lets you build these specialized, autonomous teams that run in the background, using this MCP connection to Hotmart.

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

Assign one agent the `get_sales_report` tool for big-picture analysis and another agent the `list_sales_history` tool for details. The first agent can delegate questionable transaction IDs to the second, letting your CrewAI team audit your Hotmart sales automatically.

Yes. Create an agent and use the `tool_filter` to give it access to only the `list_affiliates` and `list_commissions` tools from this MCP server. This creates a specialized agent that can't access any other Hotmart data.

Definitely. You can build a 'Financial Audit' crew. One agent pulls reports from Hotmart using tools like `list_payments`, and another compares that data against your internal records, flagging discrepancies for a human reviewer.

It's straightforward. Just pass the Vinkius URL for this Hotmart server into the `mcps` parameter when you define your Agent in CrewAI. The framework handles the connection and tool discovery.

Your agents can only read data like sales history, product info, and subscription status. Vinkius secures the connection, and this server doesn't have tools to write or delete data, so your Hotmart account integrity is maintained.

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