Hotmart MCP Server for LangChainGive LangChain instant access to 6 tools to Get Sales History, Get Sales Summary, Get Student Progress, and more
LangChain is the leading Python framework for composable LLM applications. Connect Hotmart through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Hotmart app connector for LangChain is a standout in the Ecommerce category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"hotmart-alternative": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Hotmart, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Hotmart MCP Server
Connect your Hotmart account to any AI agent and manage your digital product business through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Hotmart through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Product Catalog — List all your digital products (courses, ebooks, memberships) with pricing and status
- Sales History — Browse all transactions with status, buyer details, and commission breakdowns
- Revenue Summary — Get aggregated sales data including total revenue, number of sales, and average ticket
- Subscription Management — List all active subscriptions with renewal dates and payment status
- Student Tracking — Browse all enrolled students and inspect individual course completion progress
The Hotmart MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Hotmart tools available for LangChain
When LangChain connects to Hotmart through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-products, online-courses, subscription-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get sales history
Get sales summary
Get progress for a student
List all your products
List students (members)
List active subscriptions
Connect Hotmart to LangChain via MCP
Follow these steps to wire Hotmart into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Hotmart MCP Server
LangChain provides unique advantages when paired with Hotmart through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Hotmart MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Hotmart queries for multi-turn workflows
Hotmart + LangChain Use Cases
Practical scenarios where LangChain combined with the Hotmart MCP Server delivers measurable value.
RAG with live data: combine Hotmart tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Hotmart, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Hotmart tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Hotmart tool call, measure latency, and optimize your agent's performance
Example Prompts for Hotmart in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Hotmart immediately.
"Show all my products with sales data and the revenue summary for this month."
"Show student progress for the AI Mastery Course — who is falling behind?"
"Show the last 5 sales transactions and list all active subscriptions."
Troubleshooting Hotmart MCP Server with LangChain
Common issues when connecting Hotmart to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHotmart + LangChain FAQ
Common questions about integrating Hotmart MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.