Clientjoy MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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 account to any AI agent and take full control of your agency operations through natural conversation. Streamline how you manage the entire lifecycle from lead capture to final invoicing natively.
The Vercel AI SDK gives every Clientjoy 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
- Lead Oversight — List and retrieve details for all sales leads and their capture status natively
- Contact Intelligence — Access and monitor all client contacts and relationship history flawlessly
- Invoicing Logistics — List all agency invoices and monitor their payment status flawlessly
- Project Management — Access and monitor all client projects and their constituent tasks securely
- Sales Pipelines — List and review quotes and proposals sent to potential clients flawlessly
- Profile Visibility — Access your own user profile and core workspace metadata directly within your workspace flawlessly
The Clientjoy 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.
How to Connect Clientjoy to Vercel AI SDK via MCP
Follow these steps to integrate the Clientjoy MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Clientjoy and passes them to the LLM
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
Clientjoy MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Clientjoy to Vercel AI SDK via MCP:
get_contact_crm_details
Get detailed information for a specific contact
get_lead_crm_details
Get detailed information for a specific lead
get_my_clientjoy_profile
Retrieve information about the authenticated workspace user
list_agency_invoices
List all invoices and their payment status
list_agency_projects
List all client projects tracked in Clientjoy
list_clientjoy_contacts
List all contacts and clients stored in the CRM
list_clientjoy_leads
List all sales leads captured in Clientjoy
list_sales_quotes
List sales quotes and proposals sent to clients
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 my new leads in Clientjoy."
"Show me my unpaid invoices."
"What is the status of the 'Website Redesign' project?"
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.Connect Clientjoy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Clientjoy to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.