Refiner MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Check Refiner Status, Get Refiner Contact, Identify Refiner User, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Refiner through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Refiner app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Refiner, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Refiner MCP Server
Connect your Refiner customer feedback account to any AI agent and simplify how you collect in-product insights, manage user segments, and monitor survey performance through natural conversation.
The Vercel AI SDK gives every Refiner tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 Oversight — List all in-app, email, and link surveys and retrieve detailed status and response counts.
- Response Analysis — Query survey submissions with technical filters like UUIDs and date ranges to identify trends.
- Identity & Targeting — Identify users and upsert technical traits to ensure surveys reach the right audience.
- Event-Driven Feedback — Track high-fidelity user actions programmatically to trigger perfectly timed micro-surveys via AI.
- Segment Intelligence — List and query defined user segments to understand your audience distribution.
- Operational Monitoring — Check API health and verify account configurations directly from the agent.
The Refiner MCP Server exposes 8 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.
All 8 Refiner tools available for Vercel AI SDK
When Vercel AI SDK connects to Refiner through Vinkius, your AI agent gets direct access to every tool listed below — spanning customer-feedback, nps-surveys, user-insights, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check API Status
Get contact details
Identify or update user
List product contacts
List survey responses
List user segments
List feedback surveys
Track user event
Connect Refiner to Vercel AI SDK via MCP
Follow these steps to wire Refiner into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Refiner MCP Server
Vercel AI SDK provides unique advantages when paired with Refiner through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Refiner integration everywhere
Built-in streaming UI primitives let you display Refiner tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Refiner + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Refiner MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Refiner in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Refiner tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Refiner capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Refiner through natural language queries
Example Prompts for Refiner in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Refiner immediately.
"List all my feedback surveys in Refiner."
"Show me the last 5 responses for the 'NPS - Post Checkout' survey."
"Track event 'Clicked Upgrade' for user 'mike@example.com'."
Troubleshooting Refiner MCP Server with Vercel AI SDK
Common issues when connecting Refiner to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRefiner + Vercel AI SDK FAQ
Common questions about integrating Refiner MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.