Clientjoy MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Create New Lead, Get Customer Details, List Billing Invoices, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Clientjoy through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Clientjoy app connector for Vercel AI SDK is a standout in the Customer Relationship Management category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Clientjoy, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Clientjoy MCP Server
Connect your Clientjoy CRM and billing account to any AI agent and simplify how you coordinate your sales pipeline, client directory, and invoicing through natural conversation.
The Vercel AI SDK gives every Clientjoy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Lead Management — List and query potential sales leads, and create new prospect profiles programmatically via AI.
- Client CRM — List all customer organizations and retrieve detailed metadata, contact info, and transaction histories.
- Billing Oversight — List and monitor generated invoices and their payment status to keep your finances organized.
- Sales Proposals — Query your catalog of sent and drafted proposals to track your business development efforts.
- Service Catalog — List available products and services defined in your account to verify pricing and offerings.
- Lifecycle Control — Manage the entire journey from lead to paid customer directly from Claude, Cursor, or any MCP client.
The Clientjoy MCP Server exposes 7 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 7 Clientjoy tools available for Vercel AI SDK
When Vercel AI SDK connects to Clientjoy through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-management, invoicing, proposal-management, 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.
Register a new lead
Get details for a specific customer
List invoices
List Clientjoy customers
List Clientjoy leads
List proposals
List items and services
Connect Clientjoy to Vercel AI SDK via MCP
Follow these steps to wire Clientjoy into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Clientjoy MCP Server
Vercel AI SDK provides unique advantages when paired with Clientjoy 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 Clientjoy integration everywhere
Built-in streaming UI primitives let you display Clientjoy 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
Clientjoy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Clientjoy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Clientjoy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Clientjoy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Clientjoy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Clientjoy through natural language queries
Example Prompts for Clientjoy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Clientjoy immediately.
"List all active leads in my Clientjoy account."
"Show me the details for customer 'John Miller' (ID: 10293)."
"Are there any overdue invoices?"
Troubleshooting Clientjoy MCP Server with Vercel AI SDK
Common issues when connecting Clientjoy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpClientjoy + Vercel AI SDK FAQ
Common questions about integrating Clientjoy MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.