Can I see the full conversation history of a support ticket?

Yes! Use the `get_ticket_details` tool and provide the Ticket ID. Your agent will retrieve the complete metadata and all conversation threads for that specific issue.

How do I list all the help center articles in my account?

Run the `list_kb_articles` query. The agent will retrieve a complete list of all articles currently published in your UserEcho knowledge base.

Is it possible to create a new ticket via AI for a customer?

Absolutely. Use the `create_support_ticket` action. Provide a header and the detailed content, and the agent will instantly log the request in your UserEcho helpdesk.

INSTANT PLUG AND PLAY

UserEcho MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Support Ticket, Get Ticket Details, List Account Users, and more

Name: UserEcho
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 6 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The UserEcho app connector for Vercel AI SDK is a standout in the Collaboration category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 UserEcho, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 UserEcho MCP Server

Connect your UserEcho account to any AI agent and simplify how you manage your community feedback, helpdesk tickets, and self-service content through natural conversation.

The Vercel AI SDK gives every UserEcho tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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

Helpdesk Management — List all support tickets and retrieve detailed conversation history and status for specific issues.
Direct Ticketing — Programmatically create new support tickets directly from your agent to accelerate customer assistance.
Knowledge Base Access — List and query all articles in your help center to verify self-service documentation.
Forum Oversight — List and monitor feedback and support forums to understand community trends and suggestions.
User Directory — List account users and team members to manage your support organization structure.
Issue Tracking — Monitor the progress of client requests and verify resolution times via AI.

The UserEcho MCP Server exposes 6 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 6 UserEcho tools available for Vercel AI SDK

When Vercel AI SDK connects to UserEcho through Vinkius, your AI agent gets direct access to every tool listed below — spanning community-feedback, idea-voting, knowledge-base, 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.

create_support_ticket

Add a new ticket

get_ticket_details

Get details for a specific ticket

list_account_users

List account users

list_forums

List UserEcho forums

list_kb_articles

List knowledge base articles

list_tickets

List helpdesk tickets

Connect UserEcho to Vercel AI SDK via MCP

Follow these steps to wire UserEcho into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 6 tools from UserEcho and passes them to the LLM

Why Use Vercel AI SDK with the UserEcho MCP Server

Vercel AI SDK provides unique advantages when paired with UserEcho 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 UserEcho integration everywhere

Built-in streaming UI primitives let you display UserEcho 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

UserEcho + Vercel AI SDK Use Cases

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

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

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

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

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

Example Prompts for UserEcho in Vercel AI SDK

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

"List all active support tickets in my account."

"Show me the details for ticket #88231."

"Create a support ticket: 'API Timeout error' with content 'Receiving 504 errors on the /v1/users endpoint'."

Troubleshooting UserEcho MCP Server with Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

UserEcho + Vercel AI SDK FAQ

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

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.

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.

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.