Nicereply 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 Nicereply 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 Nicereply, 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 Nicereply MCP Server
Connect your Nicereply account to your AI agent and gain deep insights into your customer satisfaction and agent performance through natural conversation.
The Vercel AI SDK gives every Nicereply 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
- Response Monitoring — List and inspect all customer satisfaction ratings and feedback responses in real-time.
- Survey Analytics — Access CSAT, CES, and NPS surveys and retrieve detailed performance metrics and statistics.
- Agent Performance — List workspace users and monitor their individual ratings and feedback scores.
- Customer Insights — View customer profiles and their historical feedback patterns.
- Rating Standards — Retrieve the definitions of rating values and scales used across your surveys.
- Deep Inspection — Fetch complete metadata for specific responses or surveys using their unique IDs.
The Nicereply 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 Nicereply to Vercel AI SDK via MCP
Follow these steps to integrate the Nicereply 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 Nicereply and passes them to the LLM
Why Use Vercel AI SDK with the Nicereply MCP Server
Vercel AI SDK provides unique advantages when paired with Nicereply 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 Nicereply integration everywhere
Built-in streaming UI primitives let you display Nicereply 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
Nicereply + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Nicereply MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Nicereply in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Nicereply tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Nicereply capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Nicereply through natural language queries
Nicereply MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Nicereply to Vercel AI SDK via MCP:
get_customer
Get specific customer details
get_me
Get current user details
get_rating_values
List possible rating values
get_response
Get specific response details
get_survey
Get specific survey details
get_survey_stats
Get survey statistics
list_customers
List Nicereply customers
list_responses
List feedback responses
list_surveys
List all surveys
list_users
List workspace users (agents)
Example Prompts for Nicereply in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Nicereply immediately.
"Show me the latest customer feedback responses."
"What is the current performance of our CSAT survey?"
"List all active surveys in my Nicereply account."
Troubleshooting Nicereply MCP Server with Vercel AI SDK
Common issues when connecting Nicereply to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNicereply + Vercel AI SDK FAQ
Common questions about integrating Nicereply 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 Nicereply 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 Nicereply to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.