How to Use the AskNicely MCP in Vercel AI SDK

Q: Can I view AskNicely survey responses in my Vercel AI SDK dashboard?

Yes, use listresponses to pull raw customer feedback directly into your application. You can parse this data to display sentiment trends or specific comments within your React components.

Stream real-time NPS data from AskNicely directly into your Vercel AI SDK interface without the wait.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AskNicely MCP to Vercel AI SDK

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live NPS metrics in your Vercel AI SDK app

Feed your UI with `get_statistics` to display current sentiment scores the moment the AI generates them. Your users watch survey trends update in real-time as the stream processes. This MCP Server removes the lag between data retrieval and display. By piping tool output straight to your frontend, you keep the user focused on the live numbers rather than staring at loading spinners.

Direct survey triggers for Vercel AI SDK users

Call `trigger_survey` to fire off customer outreach based on specific user behavior detected in your chat stream. It handles the contact creation and survey initiation in one shot. Your application logic stays clean when you offload these tasks to the server. The data flows from the agent to the customer, keeping your feedback loop tight and responsive.

Verify your AskNicely connection in Vercel AI SDK

Run `get_account_check` to confirm the agent has a valid handshake with your dashboard before attempting complex operations. It prevents runtime errors by checking the state of your integration early. Don't let bad credentials break your production flow. You can run this check during the initial setup of your agent to ensure the connection is ready for use.

Setup guide

Set up AskNicely 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 AskNicely 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 AskNicely 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 AskNicely. 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 AskNicely 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 AskNicely MCP in Vercel AI SDK

Install the MCP client via npm and point it at the Vinkius endpoint. Use the createMCPClient function to initialize the server, then pass the tool definitions into your generateText call.

Yes, use `list_responses` to pull raw customer feedback directly into your application. You can parse this data to display sentiment trends or specific comments within your React components.

The Vercel AI SDK handles tool outputs natively, so data from this server renders as soon as it arrives. You get a fluid user experience without manual polling.

You should wrap your tool calls in standard error handling blocks within your TypeScript code. The SDK lets you catch these failures and alert the user immediately.

Vinkius manages your connection via an ephemeral sandbox. Your customer PII, such as email addresses and survey feedback, is processed only when your agent invokes a tool and never stored on our infrastructure.

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