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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Chaport 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 Chaport tools at runtime. - 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
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.
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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
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
Use it with your favorite AI tools
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