How to Use the Clientjoy MCP in Vercel AI SDK

Q: How do I connect Clientjoy to Vercel AI SDK?

Install @ai-sdk/mcp and initialize createMCPClient with your Vinkius HTTP transport URL. Pass the returned tools to generateText so your model can read agency data.

Stream live agency leads and invoice statuses directly into your React components using the Vercel AI SDK.

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Connect Clientjoy MCP to Vercel AI SDK

Create your Vinkius account to connect Clientjoy 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.

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Setup Clientjoy with Vercel AI SDK

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Claude

Perplexity

Render Live CRM Data in Next.js

Building a custom dashboard requires fetching data fast. With Vercel AI SDK connected to this MCP Server, you skip the loading spinners entirely. Your edge functions pull real-time records via `list_clientjoy_leads` and pipe that data straight into your UI components as the LLM generates the response. Users see sales pipelines update instantly on their screens. You call `mcpClient.tools()` to grab the available endpoints, pass them to `streamText`, and watch as contact names load without making your frontend wait for a massive JSON payload to finish parsing.

Stream Invoices to Client Portals

Waiting for heavy API calls kills user retention. You hook up `list_agency_invoices` to let the AI client stream payment statuses directly into your custom billing portal. The moment a customer asks about an overdue bill, the UI renders the exact amount owed. Developers skip writing custom polling logic. The model evaluates the query, triggers `list_sales_quotes`, and pushes the proposal details to the frontend chunk by chunk. Just remember to fire `mcpClient.close()` when the stream finishes.

Vercel AI SDK Clientjoy Integration

Agency owners want immediate answers about project health. Connecting this MCP Server lets your frontend agents run `list_agency_projects` and instantly display active deliverables to workspace users. You get full edge compatibility without wrangling messy REST wrappers. Authentication stays clean through the provider OAuth flow. Once connected, `get_my_clientjoy_profile` verifies the current user before showing sensitive financial data. This keeps your serverless architecture secure and fast.

Setup guide

Set up Clientjoy 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 Clientjoy 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 Clientjoy 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 Clientjoy. 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 Clientjoy 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 Clientjoy MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and initialize `createMCPClient` with your Vinkius HTTP transport URL. Pass the returned tools to `generateText` so your model can read agency data.

The SDK pipes the output of the invoice tools directly to your frontend components. Users watch payment statuses appear instantly instead of staring at a blank screen.

You skip writing custom fetch logic and type definitions for every endpoint. The AI client handles the schemas automatically when you expose the tools.

The HTTP transport layer runs perfectly on the edge. Your serverless functions can check lead statuses with zero cold-start penalties.

Every request pulling payment statuses or sales quotes executes inside a V8 Isolate Sandbox. The ephemeral environment destroys itself immediately after the data streams to your client, leaving zero trace of your financial records.

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