How to Use the Hotmart MCP in Google ADK

Q: Can Google ADK agents query historical Hotmart sales?

Certainly. The listsaleshistory tool returns the data your agent needs. Gemini then processes the context to answer your specific questions.

Connect your Hotmart account to the Google ADK to drive enterprise workflows with Gemini models.

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Connect Hotmart MCP to Google ADK

Create your Vinkius account to connect Hotmart to Google ADK 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 Google ADK

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Enterprise data access with Google ADK

Your agents can now reach into your sales history using `get_sales_report`. It bridges the gap between your dashboard and Gemini's reasoning. By using `get_me` and `list_payments`, you build a clear picture of your revenue. The Google ADK passes this data into the 1M+ token window for analysis.

Automated affiliate reconciliation

Use `list_affiliates` and `list_commissions` to track partner performance. Your agents parse these lists to generate insights for your finance team. This setup works perfectly with Vertex AI. You pipe the output directly into your existing BigQuery tables for long-term storage.

Direct product and webhook verification

The server exposes `list_products` and `list_webhooks` as native tools. Your agents verify your account configuration in seconds. This keeps your Google Cloud infrastructure aligned with your Hotmart storefront. If a webhook is missing, the agent spots it immediately.

Setup guide

Set up Hotmart MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Hotmart tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Hotmart_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Hotmart tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

The ADK communicates with the MCP server over HTTP. You provide your endpoint token, and the server translates your commands into API requests.

Data is encrypted in transit. Vinkius ensures your server instance remains isolated from other users in our managed sandbox.

Certainly. The `list_sales_history` tool returns the data your agent needs. Gemini then processes the context to answer your specific questions.

It accesses transactional records, commission logs, and product metadata. No PII is stored; it only passes through the ephemeral runtime.

Yes. Since it runs as a headless server, it scales with your agent deployment. You just manage your API limits.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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