How to Use the MoonClerk MCP in Vercel AI SDK

Q: Can Vercel AI SDK display MoonClerk payment history?

Yes, use the listpayments tool to fetch the ledger. The SDK streams the response directly to your UI components for immediate rendering.

Stream real-time MoonClerk billing data directly into your Vercel AI SDK interface without the loading spinners.

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Connect MoonClerk MCP to Vercel AI SDK

Create your Vinkius account to connect MoonClerk 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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Setup MoonClerk with Vercel AI SDK

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Live MoonClerk data streaming

Feed your UI with live transaction data using the `list_payments` and `list_subscriptions` tools. Your users watch their dashboard populate as the AI processes the context. This integration handles the handshake between your Edge Functions and the payment ledger. You get raw data flowing into your frontend components the moment your agent executes the fetch request.

Instant customer lookups

Query specific user profiles with `get_customer` to display billing history within your chat interface. It removes the need for switching tabs to find payment statuses. Your AI client interprets these records to provide immediate answers. You define the presentation logic in your React or Next.js components while the server handles the backend communication.

Direct form and plan access

Use `list_forms` and `list_plans` to pull available billing options into your application context. This keeps your interface in sync with your actual MoonClerk setup. The AI agent knows exactly which plans are active. You don't have to manually update hardcoded billing strings ever again.

Setup guide

Set up MoonClerk 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all MoonClerk tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 MoonClerk transactions",
});

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

Get your connection token →

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

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Common questions about MoonClerk MCP in Vercel AI SDK

Install the MCP client packages and point the transport to your Vinkius endpoint. You initialize the client and pass the tools directly into your streamText call.

Yes, use the `list_payments` tool to fetch the ledger. The SDK streams the response directly to your UI components for immediate rendering.

Not really. You can run the MCP client inside your Edge Functions. It handles the communication overhead so you focus on the UI.

Your connection uses encrypted transport layers. Only the data you request via the tools leaves the MoonClerk environment.

Wrap your tool calls in standard try-catch blocks within your agent logic. The tools return clear error codes if a lookup fails.

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