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How to Use the Tingg Insights MCP in Vercel AI SDK

Build live fintech dashboards in React by connecting Tingg Insights to the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Tingg Insights MCP on Cursor AI Code Editor MCP Client Tingg Insights MCP on Claude Desktop App MCP Integration Tingg Insights MCP on OpenAI Agents SDK MCP Compatible Tingg Insights MCP on Visual Studio Code MCP Extension Client Tingg Insights MCP on GitHub Copilot AI Agent MCP Integration Tingg Insights MCP on Google Gemini AI MCP Integration Tingg Insights MCP on Lovable AI Development MCP Client Tingg Insights MCP on Mistral AI Agents MCP Compatible Tingg Insights MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Tingg Insights MCP to Vercel AI SDK

Create your Vinkius account to connect Tingg Insights to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Stream payment data directly to the UI

Hook up `list_payment_transactions` and watch the data stream straight into your frontend. Users don't stare at a loading spinner. They see the data populate instantly as the agent fetches it from the gateway. Your agent can also trigger a `create_checkout_request` right from the chat interface. The Vercel AI SDK handles the tool call, fires the request, and streams the confirmation text back to the client.

Surface metrics with this MCP Server

Call `get_account_performance_metrics` from this MCP Server to surface live operational data in your Next.js app. The results render as a chart component immediately, giving your users real-time visibility into their transaction volume. If a user complains about connectivity, your agent can quietly run `check_api_health` in the background. It returns the status without breaking the conversation flow.

Process refunds and track money movement

Execute `initiate_payment_refund` directly inside your customer support portal when a user asks for their money back. The agent handles the API interaction and updates the UI state in one fluid motion. You can also track outgoing funds. Hook up `list_disbursement_payouts` to show finance teams exactly where the money went today.

Setup guide

Set up Tingg Insights 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 Tingg Insights 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 Tingg Insights 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 Tingg Insights. 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.

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 Tingg Insights MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp` in your project. Call `createMCPClient` with your HTTP transport URL. Pass the tools to `streamText` and close the client when the request finishes.
Yes. The SDK streams the tool execution results directly to your React components. The user sees transaction data appear as the agent retrieves it.
It does. You pass an `authProvider` to the MCP client configuration. This handles the token exchange before your agent makes any payment requests.
Use the `get_transaction_status` tool. Pass the transaction ID, and the agent returns the exact state of the payment directly to the interface.
The server processes payment IDs and settlement amounts entirely in memory. It routes the payload through a V8 Isolate Sandbox and destroys the environment the moment the API returns the result. Nothing hits a local disk.

Start using the Tingg Insights MCP today

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Built & Managed by Vinkius 30s setup 12 tools

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