How to Use the Clientjoy MCP in OpenAI Agents SDK
Let your OpenAI Agents SDK control agency pipelines and pull live Clientjoy data with built-in safety guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clientjoy MCP to OpenAI Agents SDK
Create your Vinkius account to connect Clientjoy to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Sync Clientjoy Leads with OpenAI Agents SDK
The `list_clientjoy_leads` and `get_lead_crm_details` tools feed your production pipelines with active sales opportunities. Your agents fetch raw deal values, status updates, and contact histories directly during execution. Because you are running a multi-agent setup, one agent can qualify the lead while another updates the record. The built-in guardrails in your SDK ensure no agent modifies pipeline status without passing your validation checks first.
Audit Invoices and Quotes via OpenAI Agents
The `list_agency_invoices` and `list_sales_quotes` tools let your agents cross-reference unpaid balances with client proposals. Instead of writing custom API wrappers, you plug these tools directly into your agent constructor for automatic discovery. The OpenAI dashboard tracks every single call to these billing tools. If an agent tries to pull a high-value invoice, you can inspect the exact trace and ensure your safety constraints blocked any unauthorized actions.
Map Clientjoy Projects to Active Contacts
The `list_agency_projects` and `list_clientjoy_contacts` tools give your agents a complete map of who is working on what. Your system queries project statuses and immediately maps them back to specific client profiles. Use the SDK's native handoff features to pass tasks between a project-tracking agent and a client-facing agent. They share the same context, pulling real-time data through the secure MCP Server endpoint without leaking API keys.
Set up Clientjoy MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Clientjoy tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Clientjoy tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Clientjoy tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Clientjoy Agent",
instructions="You have access to Clientjoy tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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
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Real-time monitoring
Live
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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
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Common questions about Clientjoy MCP in OpenAI Agents SDK
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