3,400+ MCP servers ready to use
Vinkius

Quentn MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Contact, Delete Contact, Get Campaign, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Quentn 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 Quentn app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 11 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 Quentn, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Quentn
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 Quentn MCP Server

Connect your Quentn account to any AI agent and take full control of your CRM orchestration and marketing automation through natural conversation. Quentn provides a powerful platform for managing customer relationships and complex marketing sequences, and this integration allows you to retrieve contact metadata, trigger campaign sequences, and manage tags (terms) directly from your chat interface.

The Vercel AI SDK gives every Quentn tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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

  • Contact & CRM Orchestration — List, create, and update contacts with detailed profile metadata programmatically to ensure your sales database is always synchronized.
  • Campaign Lifecycle Management — Access and monitor your marketing campaigns and trigger specific sequences for contacts directly from the AI interface.
  • Tag & Segment Control — Manage terms (tags) to maintain a clear overview of your audience segmentation via natural language.
  • Omnichannel Communication — Send automated emails through the Quentn system to ensure consistent customer engagement.
  • Operational Monitoring — Track system activity and manage custom fields to ensure your marketing stack is always optimized using simple AI commands.

The Quentn MCP Server exposes 11 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 11 Quentn tools available for Vercel AI SDK

When Vercel AI SDK connects to Quentn through Vinkius, your AI agent gets direct access to every tool listed below — spanning crm-automation, email-funnels, gdpr-compliance, 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_contact

Create a new contact

delete_contact

Delete a contact

get_campaign

Get campaign details

get_contact

Get contact details by ID

get_tag_details

Get details for a specific tag

list_campaigns

List all campaigns

list_contacts

List all contacts

list_tags

List all tags/terms

list_users

List system users

send_email

Send an email to a contact

update_contact

Update an existing contact

Connect Quentn to Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 11 tools from Quentn and passes them to the LLM

Why Use Vercel AI SDK with the Quentn MCP Server

Vercel AI SDK provides unique advantages when paired with Quentn through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Quentn integration everywhere

03

Built-in streaming UI primitives let you display Quentn tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Quentn + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Quentn in Vercel AI SDK

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

01

"List all contacts tagged as 'VIP' in Quentn."

02

"Show me all contacts who opened my last email campaign but did not click any link."

03

"Create a new contact with tag VIP Customer and add them to the onboarding automation sequence."

Troubleshooting Quentn MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Quentn + Vercel AI SDK FAQ

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

01

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.
02

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.
03

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.