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How to Use the Chaport MCP in OpenAI Agents SDK

Directly message website visitors and monitor agent status from your OpenAI Agents SDK production system.

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OpenAI Agents SDK

Connect Chaport MCP to OpenAI Agents SDK

Create your Vinkius account to connect Chaport 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.

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Manage visitor conversations via OpenAI Agents SDK

Trigger `get_chat_history` or `get_visitor_last_chat` to pull raw conversation data directly into your agent's context. Your agent processes these logs to understand intent before deciding on a response. Use `send_agent_message` to push replies back to the visitor. This creates a tight loop where your production agent handles support queries without manual intervention.

Track operator activity with this MCP Server

Call `list_chaport_operators` to see who is on the clock. You can also run `list_online_agents` to verify availability in real-time. Your OpenAI Agents SDK logic uses these lists to route complex tickets. It ensures a human operator is available before passing the conversation forward.

Access visitor data in OpenAI Agents SDK

Execute `list_website_visitors` to see who is hitting your pages right now. Use `get_visitor_details` to grab specific user metadata for personalized interaction. Your code gets these details as structured objects. It allows your agent to adjust its tone or policy based on the visitor's history.

Setup guide

Set up Chaport MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Chaport tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Chaport tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Chaport tools and returns structured results. Copy the full example on the right to get started.

agent.py
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="Chaport Agent",
            instructions="You have access to Chaport 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 Chaport. 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

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 Chaport MCP in OpenAI Agents SDK

Yes. You simply pass the MCP server instance to your agent constructor. The tools appear automatically, and the SDK handles the connection.
Vinkius manages the handshake. You provide a single endpoint token, and the connection stays secure through the server lifecycle.
It does. The `send_agent_message` tool lets your agent write back to visitors. You control the logic in your Python code.
Tool discovery happens once. Setting `cacheToolsList=True` keeps your agent responsive during standard operations.
Your chat logs and visitor identifiers stay within the V8 isolate sandbox. No data persists once your agent session closes.

Start using the Chaport MCP today

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We've already built the connector for Chaport. Just plug in your AI agents and start using Vinkius.

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