How to Use the CustomerGauge MCP in Vercel AI SDK

Build React dashboards that stream CustomerGauge NPS metrics live using the Vercel AI SDK.

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Connect CustomerGauge MCP to Vercel AI SDK

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

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Build live NPS dashboards with Vercel AI SDK

Your users hate waiting for data to load. When you hook up this MCP Server and call `get_portfolio_nps_summary`, your Next.js frontend streams executive metrics straight into the UI. The numbers appear digit by digit as the AI client processes the response. You don't need a middleman database for this. The `list_b2b_accounts` tool feeds directly into your React components. Your interface updates instantly while the user asks questions about their account hierarchy.

Render verbatim customer feedback in real-time

Text analysis usually blocks the main thread while you wait for a massive payload. By calling `search_responses_by_keyword`, this MCP integration pulls matching feedback entries and streams the actual comments into your Svelte or Vue views immediately. Digging deeper happens without friction. When a user clicks a specific comment, `get_response_details` fetches the respondent metadata and driver scores. The UI builds itself around the data before the fetch even finishes.

Connect revenue impact to satisfaction scores

Showing ROI requires blending financial data with sentiment. You can pipe the output of `list_revenue_impact_data` right into your charting libraries. The monetary values map directly to the experience metrics. Connecting the dots becomes a simple frontend task. You fire off `get_account_nps` alongside the revenue data, and the AI agent explains the correlation right in the chat window. Everything stays fast and edge-compatible.

Setup guide

Set up CustomerGauge 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 CustomerGauge 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 CustomerGauge 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 CustomerGauge. 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.

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Real-time monitoring

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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 CustomerGauge MCP in Vercel AI SDK

Install the @ai-sdk/mcp package and define your transport layer. Call createMCPClient with your Vinkius endpoint token. Pass the returned tools to streamText to start rendering NPS data.

Yes. When you invoke the tools, the results stream straight back to your frontend. The user sees the text from the API appear in real-time.

It runs perfectly on the Edge. You just initialize the MCP connection using the HTTP transport. Your UI stays snappy because the AI client handles the routing.

Vinkius manages the underlying API credentials. You only need to pass your endpoint token into the authProvider config. The SDK handles the rest automatically.

Your monetary values and verbatim survey comments stay locked down. The V8 Isolate Sandbox destroys itself the second your session ends. Nothing persists after the connection closes.

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