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Customers.ai MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Add Tag To Contact, Get Contact, List Xray Leads, and more

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Customers.ai 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

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The Customers.ai app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 8 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 Customers.ai, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Customers.ai
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* 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 Customers.ai MCP Server

Connect your Customers.ai (formerly MobileMonkey) account to any AI agent and take full control of your automated messaging and B2B identity resolution workflows through natural conversation.

The Vercel AI SDK gives every Customers.ai tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 Orchestration — List and search your contact database programmatically, retrieving detailed metadata from identity resolution pipelines like X-Ray Pixel
  • Multichannel Engagement — Programmatically dispatch plain text or high-fidelity JSON messages (including galleries and buttons) across SMS and chat channels
  • Identity Resolution Intelligence — Access leads identified through website visits to prioritize high-intent prospects and maintain a high-fidelity sales pipeline
  • Attribute Management — Programmatically update custom contact attributes and manage audience segments through dynamic tagging directly from your agent
  • Lead Discovery — Find contacts by email, phone, or external identifiers to perfectly coordinate your multichannel outreach and follow-ups

The Customers.ai MCP Server exposes 8 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 8 Customers.ai tools available for Vercel AI SDK

When Vercel AI SDK connects to Customers.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning customersai, identity-resolution, messaging-automation, 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.

add_tag_to_contact

Add a tag to a contact

get_contact

Get contact profile details

list_xray_leads

List identified website visitors

remove_tag_from_contact

Remove a tag from a contact

search_contacts

Search for contacts in Customers.ai

send_rich_message

Send a structured JSON message

send_text_message

Send a text message to a contact

update_contact_attributes

Update attributes for a contact

Connect Customers.ai to Vercel AI SDK via MCP

Follow these steps to wire Customers.ai 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 8 tools from Customers.ai and passes them to the LLM

Why Use Vercel AI SDK with the Customers.ai MCP Server

Vercel AI SDK provides unique advantages when paired with Customers.ai 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 Customers.ai integration everywhere

03

Built-in streaming UI primitives let you display Customers.ai 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

Customers.ai + Vercel AI SDK Use Cases

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

01

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

02

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

03

Chatbots with tool use: embed Customers.ai capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Customers.ai through natural language queries

Example Prompts for Customers.ai in Vercel AI SDK

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

01

"List the last 5 leads identified via X-Ray Pixel."

02

"Find the contact with email 'jane.doe@example.com'."

03

"Add the 'Q2 Campaign' tag to contact ID '1024'."

Troubleshooting Customers.ai MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Customers.ai + Vercel AI SDK FAQ

Common questions about integrating Customers.ai 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.