Bring Digital Products
to Mastra AI
Learn how to connect Gumroad to Mastra AI and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Gumroad MCP Server?
Connect your Gumroad account to any AI agent and take full control of your digital products and e-commerce workflows through natural conversation.
What you can do
- Product Management — List all your digital products and retrieve detailed metadata, pricing, and shareable URLs programmatically
- Sales Intelligence — Monitor transaction history with precise date filters to track revenue and customer acquisition trends
- Offer Code Automation — Create and manage discount codes (fixed or percentage-based) to drive marketing campaigns and sales
- Customer Relationships — List and manage product-specific subscribers to maintain direct communication with your audience
- Store Performance — Retrieve complete transaction details for any sale ID to provide high-fidelity customer support
How it works
- Subscribe to this server
- Retrieve your Application Token from your Gumroad Dashboard (Settings > Advanced > Application tokens)
- Start managing your creator business from Claude, Cursor, or any MCP client
No more manual status checking or complex store management through different tabs. Your AI acts as your dedicated store manager.
Who is this for?
- Digital Creators — automate discount code generation and monitor sales performance through natural language
- Customer Success Managers — quickly retrieve customer transaction data to verify purchases and handle support requests
- Growth Marketers — track subscriber lists and campaign performance across multiple products without leaving your workspace
Built-in capabilities (8)
Create a new discount code
Get details for a product
Get details for a specific sale
Get your Gumroad account details
List discount codes for a product
List subscribers for a product
List your Gumroad products
Supports date filtering. List recent sales
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Gumroad tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Gumroad without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Gumroad tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Gumroad in Mastra AI
Gumroad and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gumroad to Mastra AI 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 | 4,000+ 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 Gumroad in Mastra AI
The Gumroad 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 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI 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
Gumroad for Mastra AI
Every tool call from Mastra AI to the Gumroad MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Application Token for Gumroad?
Log in to your Gumroad account, navigate to Settings > Advanced, and scroll down to the Application tokens section to create a new one.
Can I create discount codes with my AI agent?
Yes! The create_offer_code tool allows your agent to generate new coupons for any of your products with fixed or percentage discounts.
Does the integration support checking specific customer info?
The get_sale_details tool provides comprehensive data for any transaction, including the customer's email and purchase metadata.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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