AskNicely MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AskNicely 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 MCP SERVER
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 AskNicely, 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 AskNicely MCP Server
The AskNicely MCP Server provides a powerful natural language interface to your customer experience platform. Empower your AI agent to monitor your Net Promoter Score (NPS), retrieve real-time user feedback, and manage your contact survey workflows seamlessly.
The Vercel AI SDK gives every AskNicely tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Capabilities
- NPS Monitoring — Retrieve your aggregate NPS statistics and track changes in customer sentiment over time.
- Response Analysis — Access detailed survey responses, including scores and customer comments, to identify pain points and success stories.
- Contact Management — List and audit your contact database, including when users were last surveyed.
- Survey Automation — Trigger new surveys for specific customers directly from your chat interface to capture immediate feedback.
- Real-time Statistics — Get instant summaries of your customer experience metrics without manual dashboard exports.
- Secure API Access — Uses your AskNicely API Key for safe and authenticated communication.
The AskNicely MCP Server exposes 5 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 AskNicely to Vercel AI SDK via MCP
Follow these steps to integrate the AskNicely 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 5 tools from AskNicely and passes them to the LLM
Why Use Vercel AI SDK with the AskNicely MCP Server
Vercel AI SDK provides unique advantages when paired with AskNicely 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 AskNicely integration everywhere
Built-in streaming UI primitives let you display AskNicely 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
AskNicely + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AskNicely MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AskNicely in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AskNicely tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AskNicely capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AskNicely through natural language queries
AskNicely MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect AskNicely to Vercel AI SDK via MCP:
get_account_check
Verify AskNicely account connection
get_statistics
Get aggregate NPS statistics and summary
list_contacts
List contacts in your AskNicely account
list_responses
List NPS survey responses from AskNicely
trigger_survey
Add a contact and trigger a survey immediately
Example Prompts for AskNicely in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AskNicely immediately.
"Show me our current NPS statistics."
"List the last 5 survey responses with comments."
"Trigger an NPS survey for 'Jane Smith' at 'jane@example.com'."
Troubleshooting AskNicely MCP Server with Vercel AI SDK
Common issues when connecting AskNicely to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAskNicely + Vercel AI SDK FAQ
Common questions about integrating AskNicely 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 AskNicely 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 AskNicely to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
