How to Use the Chargeblast MCP in Vercel AI SDK

Q: Can I show Chargeblast deflection logs in my Next.js app with the Vercel AI SDK?

Yes, that's a perfect use case. The listdeflectionlogs tool returns a list of successfully blocked chargebacks. You can stream these results directly into a React component to create a real-time audit log for your team.

Build UIs that show Chargeblast dispute alerts streaming in live, powered by the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Chargeblast MCP to Vercel AI SDK

Create your Vinkius account to connect Chargeblast 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.

GDPR Free for Subscribers

Setup Chargeblast with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream Dispute Data Directly into Your UI

This MCP Server connects Chargeblast directly to your frontend. Use the Vercel AI SDK to call `list_dispute_alerts` and watch as your React or Next.js components populate with chargeback data in real time. No spinners, no waiting for a full response. The user sees the data as it arrives. You can build a live dashboard that feels instant, feeding results from `list_deflection_logs` or `list_uploaded_orders` straight into your tables and charts. It's a much better experience than a static page refresh.

Create Interactive Chargeback Management Tools

Let your support team take action without leaving your app. When a user clicks an alert, call `get_dispute_alert_details` and stream the specifics into a side panel. The data appears line-by-line, not all at once. Then, map UI buttons directly to Chargeblast actions. A 'Request Credit' button can trigger `request_dispute_credit`, and a status dropdown can call `update_alert_status`. The UI reflects the change instantly, because the AI SDK handles the state updates for you.

Build for the Edge with this MCP Server

Your frontends are fast, and your AI tools should be too. Because this integration works with the Vercel AI SDK, you can deploy your logic to Edge Functions. This keeps your AI client close to your users, reducing latency on every call to the Chargeblast tools. This architecture means fetching a merchant list with `list_enrolled_merchants` or uploading new sales with `upload_order_data` happens fast. You get the security of the MCP Server and the speed of Vercel's network.

Setup guide

Set up Chargeblast 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 Chargeblast 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 Chargeblast 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 Chargeblast. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Chargeblast now

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Chargeblast MCP in Vercel AI SDK

First, install the AI SDK and the MCP package. Then, create the MCP client in your code, pointing it to your unique Vinkius URL for the Chargeblast server. You can then access the tools like `list_dispute_alerts` and pass them to the `streamText` function.

Yes, that's a perfect use case. The `list_deflection_logs` tool returns a list of successfully blocked chargebacks. You can stream these results directly into a React component to create a real-time audit log for your team.

The main benefit is the streaming UI. Instead of your user waiting for a full API response, the Vercel AI SDK lets you render data as it's received from the MCP Server. It makes your application feel much more responsive and alive.

Yes, it's handled for you. You embed your Vinkius endpoint token when you initialize the MCP client. The SDK includes it in every request, so you don't have to manage headers or tokens manually.

Your Chargeblast API keys are stored securely within the Vinkius MCP Server, never exposed to the client. The server only processes the specific data required by the tools, like dispute alert details and order history. Your frontend code only ever interacts with the sandboxed MCP endpoint.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript