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Fairing MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fairing through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Fairing, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Fairing MCP Server

Connect your Fairing (formerly EnquireLabs) account to any AI agent and take full control of your post-purchase surveys and zero-party data through natural conversation.

The Vercel AI SDK gives every Fairing tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Survey & Question Management — List all active questions and fetch detailed configurations for your post-purchase surveys
  • Response Tracking — List and inspect individual survey responses to understand customer sentiment and attribution
  • Zero-Party Data Analysis — Query customer-specific responses to pair survey data with your marketing profiles
  • Aggregated Insights — Extract high-level insights and performance metrics across all your survey streams
  • Integration Audit — Monitor active integrations with platforms like Klaviyo, GA4, and Meta directly from the cloud
  • Account Context — Retrieve your Fairing account details and API token identity flawlessly

The Fairing MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Fairing to Vercel AI SDK via MCP

Follow these steps to integrate the Fairing MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 12 tools from Fairing and passes them to the LLM

Why Use Vercel AI SDK with the Fairing MCP Server

Vercel AI SDK provides unique advantages when paired with Fairing through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Fairing integration everywhere

03

Built-in streaming UI primitives let you display Fairing tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Fairing + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Fairing MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Fairing in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Fairing tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Fairing capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Fairing through natural language queries

Fairing MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Fairing to Vercel AI SDK via MCP:

01

get_account_info

Get Fairing account information

02

get_customer_responses

Get all survey responses for a specific customer

03

get_insights

Get aggregated survey insights

04

get_me

Get current API token identity

05

get_question

Get details for a specific survey question

06

get_response

Get details for a specific survey response

07

get_survey_details

Get details for a specific survey

08

list_customers

List customers who have interacted with surveys

09

list_integrations

List active Fairing integrations

10

list_questions

List all Fairing survey questions

11

list_responses

List all survey responses

12

list_surveys

List all Fairing surveys

Example Prompts for Fairing in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Fairing immediately.

01

"List all active survey questions on Fairing."

02

"Show me the latest 5 survey responses."

03

"Check my active integrations on Fairing."

Troubleshooting Fairing MCP Server with Vercel AI SDK

Common issues when connecting Fairing to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Fairing + Vercel AI SDK FAQ

Common questions about integrating Fairing MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Fairing to Vercel AI SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.