Can I check the payment status of an invoice via AI?

Yes! Use the `list_billing_invoices` tool. Your agent will retrieve the history of invoices, including whether they are Paid, Overdue, or Unpaid.

How do I add a new sales lead using the agent?

Use the `create_new_lead` action. Provide the lead's name and email address to register them instantly in your Clientjoy sales pipeline.

Is it possible to list all my active customers via AI?

Absolutely. Use the `list_customers` query. The agent will retrieve the complete directory of organizations and clients managed in your account.

INSTANT PLUG AND PLAY

Clientjoy MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 7 tools to Create New Lead, Get Customer Details, List Billing Invoices, and more

Name: Clientjoy
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 7 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Clientjoy through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Clientjoy app connector for OpenAI Agents 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

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Clientjoy Assistant",
            instructions=(
                "You help users interact with Clientjoy. "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Clientjoy"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenAI Agents SDK auto-discovers all 7 tools from Clientjoy through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Clientjoy, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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.

create_new_lead

get_customer_details

Get details for a specific customer

list_billing_invoices

List invoices

list_customers

List Clientjoy customers

list_leads

List Clientjoy leads

list_sales_proposals

List proposals

list_service_items

List items and services

Connect Clientjoy to OpenAI Agents SDK via MCP

Follow these steps to wire Clientjoy into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 7 tools from Clientjoy

Why Use OpenAI Agents SDK with the Clientjoy MCP Server

OpenAI Agents SDK provides unique advantages when paired with Clientjoy through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Clientjoy + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Clientjoy MCP Server delivers measurable value.

Automated workflows: build agents that query Clientjoy, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Clientjoy, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Clientjoy tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Clientjoy to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Clientjoy in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Clientjoy to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Clientjoy + OpenAI Agents SDK FAQ

Common questions about integrating Clientjoy MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.