Bring Digital Products
to LangChain
Learn how to connect Hotmart to LangChain and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Hotmart MCP Server?
Connect your Hotmart account to any AI agent and manage your digital product business through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your Hotmart Client ID and Client Secret from the developer portal
3. Start managing your products from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Digital Creators — monitor product sales, track student engagement, and review revenue without opening the Hotmart dashboard
- Course Authors — check student progress, identify drop-off points, and manage subscriber lists
- Affiliate Managers — review sales commissions, track affiliate performance, and audit transaction histories
Built-in capabilities (6)
Get sales history
Get sales summary
Get progress for a student
List all your products
List students (members)
List active subscriptions
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine Hotmart MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Hotmart queries for multi-turn workflows
Hotmart in LangChain
Hotmart and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Hotmart to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Hotmart in LangChain
The Hotmart 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Hotmart for LangChain
Every tool call from LangChain to the Hotmart MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I track how many students completed my course?
Yes. Use list_students to see all enrolled students across your products. Then use get_student_progress with a Student ID to see their course completion percentage, modules accessed, and last activity date. This helps identify students at risk of dropping off.
Does Hotmart require two credentials for authentication?
Yes. Hotmart uses OAuth 2.0 Client Credentials flow. You need a Client ID and a Client Secret, generated in the Hotmart Developer Portal. These are used to obtain a Bearer token automatically — the server handles token exchange internally.
Can I view a detailed breakdown of my sales revenue?
Yes. Use get_sales_summary for aggregated data including total revenue, number of sales, and average ticket. Use get_sales_history for individual transactions with status, price breakdowns, commissions, and buyer information. Combine with list_products to correlate revenue per product.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters