How to Use the Custify MCP in Vercel AI SDK

Stream live customer health scores and lifecycle data directly into your React frontends using the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Custify MCP to Vercel AI SDK

Create your Vinkius account to connect Custify to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Custify with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream customer health data to the UI

Building a customer success dashboard requires real-time data visibility. By connecting this MCP Server to your Vercel AI SDK setup, your Next.js application pulls live churn metrics directly into the browser. Users watch the interface populate instantly instead of staring at a spinning wheel. Your agent calls `list_health_scores` and `list_user_segments` behind the scenes. The SDK's streaming text functions parse that JSON payload and render the React components as the data arrives over the wire. You get immediate visual feedback on accounts at risk.

Track events from Vercel AI SDK chats

Conversational interfaces often need to log user interactions back to your CRM via an MCP integration. When a user asks your AI client a specific question, you want that interaction recorded against their profile. The integration handles this automatically. Triggering `track_user_event` pushes custom activity logs straight to the platform. If the person doesn't exist yet, the system fires off `create_person` first. You keep your product analytics perfectly synced with your chat interface.

Fetch deep company context on demand

Support reps need full account history before answering complex queries. Hardcoding API calls for every possible data point bloats your Edge Functions. Giving your AI client direct access to the database solves this. The agent uses `get_company_details` and `get_person_details` to pull specific records only when the conversation requires them. It reads the exact lifecycle stage and active playbooks, then streams a fully contextualized answer back to your frontend.

Setup guide

Set up Custify MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Custify tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Custify transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Custify. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Custify now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Custify MCP in Vercel AI SDK

Install the @ai-sdk/mcp package via npm. Use createMCPClient with your Vinkius HTTP transport URL, then pass the resulting tools into streamText.

Yes. As the server fetches the health scores, the SDK streams the tool results directly into your UI components without waiting for the full response to finish.

It runs perfectly on the Edge. Since Vinkius handles the underlying infrastructure, your Vercel AI SDK application just makes a standard HTTP request to the endpoint.

Always call mcpClient.close() when your generative function completes. Leaving connections open will drain your Vinkius limits.

Vinkius isolates every session in a V8 sandbox. When your app requests customer health scores or tracks custom events, the ephemeral container processes the payload and immediately destroys itself. Nothing persists in our network.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript