Hotmart MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Get Sales History, Get Sales Summary, Get Student Progress, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hotmart as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Hotmart app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Hotmart. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Hotmart?"
)
print(response)
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.
LlamaIndex agents combine Hotmart tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Hotmart into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Hotmart MCP Server
LlamaIndex provides unique advantages when paired with Hotmart through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hotmart tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hotmart tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hotmart, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hotmart tools were called, what data was returned, and how it influenced the final answer
Hotmart + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hotmart MCP Server delivers measurable value.
Hybrid search: combine Hotmart real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hotmart to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Hotmart for fresh data
Analytical workflows: chain Hotmart queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Hotmart in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Hotmart to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHotmart + LlamaIndex FAQ
Common questions about integrating Hotmart MCP Server with LlamaIndex.