How to Use the Bolt MCP in Vercel AI SDK

Stream Bolt transaction data directly into your Vercel AI SDK frontends for live, zero-latency payment updates.

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Connect Bolt MCP to Vercel AI SDK

Create your Vinkius account to connect Bolt 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 Bolt with Vercel AI SDK

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Live Payment Tracking in Vercel AI SDK

Your UI renders payment status updates as they happen by piping `get_transaction` and `list_transactions` through your streaming pipeline. Users watch the data populate without waiting for a stale spinner. This MCP Server pushes raw transaction objects into your React components via standard tool calls. You keep the logic in your Edge Functions while the state updates on the user's screen.

One-Click Checkout via Bolt Tools

Trigger the checkout flow from your frontend using `create_order_token` to generate secure sessions. Your AI client handles the handshake, and the SDK manages the browser state. Transactions move from authorized to captured using `capture_transaction` without leaving your application context. You control the entire purchase loop through the SDK.

Direct Order Management Controls

Handle customer requests for refunds or order status checks by calling `refund_transaction` or `get_order_details` inside your app. The SDK parses the result immediately. Your interface reflects current merchant health by querying `get_merchant_status` on demand. It's a direct bridge between your customer-facing dashboard and the payment backend.

Setup guide

Set up Bolt 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 Bolt 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 Bolt transactions",
});

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

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Common questions about Bolt MCP in Vercel AI SDK

Install the MCP packages and pass the endpoint to your client configuration. You then map the returned tool list into your generateText calls to enable payment actions.

Yes, the transport layer is built for this environment. It handles the request-response cycle over HTTP so your Edge Functions stay performant.

It does. Because the tools stream results back to the frontend, your React components can react to state changes as the agent finishes each step.

We isolate your credentials in a secure sandbox. Only your specific client token can trigger the tools, and all traffic is encrypted in transit.

It processes order IDs, transaction timestamps, and partial account details. These are handled as ephemeral objects in memory and never stored on our side.

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