Delighted MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Delighted through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Delighted, 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 Delighted MCP Server
Integrate Delighted by Qualtrics, the leading experience management platform, directly into your AI workflow. Monitor your customer feedback in real-time, track Net Promoter Score (NPS) metrics, and analyze survey comments using natural language.
The Vercel AI SDK gives every Delighted tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Feedback Monitoring — List and retrieve detailed survey responses, including scores and text comments from your customers.
- Metric Intelligence — Retrieve overall NPS metrics, including promoter, passive, and detractor counts.
- Customer Research — Access feedback history and metadata for specific individuals in your database.
- Survey Automation — Add new people to Delighted to trigger feedback surveys directly via chat.
The Delighted MCP Server exposes 10 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 Delighted to Vercel AI SDK via MCP
Follow these steps to integrate the Delighted MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Delighted and passes them to the LLM
Why Use Vercel AI SDK with the Delighted MCP Server
Vercel AI SDK provides unique advantages when paired with Delighted 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 Delighted integration everywhere
Built-in streaming UI primitives let you display Delighted 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
Delighted + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Delighted MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Delighted in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Delighted tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Delighted capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Delighted through natural language queries
Delighted MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Delighted to Vercel AI SDK via MCP:
add_person_to_survey
Adds a new person to the system and schedules a survey invitation to be sent via the default channel. Add a new person to Delighted to trigger a survey
get_nps_metrics_summary
Returns real-time Net Promoter Score (NPS) along with a breakdown of promoters, passives, and detractors. Retrieve overall NPS metrics, including promoter and detractor counts
get_person_feedback_history
Resolves all previous survey responses, cumulative NPS contribution, and associated person attributes. Get all feedback and metadata for a specific person
get_recent_customer_comments
List the most recent survey responses that include a text comment
get_response_details
Resolves customer details, specific survey channel, and the full text of the feedback comment. Get full details for a specific survey response
list_feedback_contacts
Returns a list of people who have interacted with Delighted, including their email addresses and survey history metadata. List people who have been sent surveys or provided feedback
list_recent_detractors
Identifies "detractors" based on an NPS score between 0 and 6. Identify customers who provided a low NPS score (0-6)
list_survey_responses
Returns response metadata including score, comment, person identifier, and timestamp. List all customer survey responses in Delighted
list_top_promoters
Identifies "promoters" based on an NPS score of 9 or 10. Identify customers who provided a high NPS score (9-10)
search_responses_by_comment
Identifies survey responses where the text matches the provided search term. Search for survey responses containing specific keywords in comments
Example Prompts for Delighted in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Delighted immediately.
"What is our current NPS score?"
"Show me the last 5 customer comments containing 'pricing'."
"Get the feedback history for 'user@example.com'."
Troubleshooting Delighted MCP Server with Vercel AI SDK
Common issues when connecting Delighted to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDelighted + Vercel AI SDK FAQ
Common questions about integrating Delighted 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.Connect Delighted with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Delighted to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.