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How to Use the Gumroad MCP in Vercel AI SDK

Build Next.js interfaces where your Vercel AI SDK client streams live Gumroad sales and discount codes via MCP.

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Vercel AI SDK

Connect Gumroad MCP to Vercel AI SDK

Create your Vinkius account to connect Gumroad to Vercel AI SDK 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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Stream live sales feeds with Vercel AI SDK

The Gumroad MCP Server exposes `list_sales` so your application can query transactions and stream the output line-by-line as it happens. Instead of waiting for a slow page reload, your Next.js frontend displays purchase events immediately. Your agent uses `get_sale_details` to fetch specific transaction records the moment a user asks about their order status. This setup bypasses traditional REST polling by letting the model fetch and display the exact raw JSON structure directly to the UI.

Generate discount codes inside chat interfaces

This MCP Server lets your application invoke `create_offer_code` to mint discounts on the fly during a live customer conversation. When a user requests a deal, the model evaluates their eligibility and generates the code in real-time. The UI displays the fresh code instantly because the tool execution streams directly into the React component. You can also run `list_offer_codes` to let the user browse existing promotions without leaving your custom dashboard.

Live subscriber lookups on the Edge

By using the `list_product_subscribers` tool on this MCP Server, your Vercel AI SDK setup verifies active memberships inside Edge Functions with minimal latency. The model pulls the active email list and matches it against the current session data instantly. If a customer needs to update their account, the agent calls `get_user_profile` to check their overall account status. This keeps your database queries localized to the edge, avoiding unnecessary round-trips to external databases.

Setup guide

Set up Gumroad MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Gumroad tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Gumroad transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gumroad. 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.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Gumroad MCP in Vercel AI SDK

You register the MCP client in your route handler and pass the tools directly to your streaming function. When a user asks for recent transactions, the model calls `list_sales` and streams the JSON chunks directly to your React component.
Yes, the model uses the `create_offer_code` tool to generate new discounts during an active chat session. The generated code is returned as a tool call that you can render instantly in your Next.js UI.
You call the tool method on your client and pass the results to the tools parameter of your stream. This allows your agent to run `list_products` or `get_product_details` based on the user's prompt.
Yes, because the client uses standard HTTP transports. You can query subscription lists inside lightweight edge runtimes without hitting Node.js dependency walls.
Your Gumroad API token and customer email addresses are protected inside Vinkius's secure sandboxed environment. We isolate each session inside an ephemeral V8 engine, meaning your transaction data never persists on our servers.

Start using the Gumroad MCP today

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