Chaport MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Chaport through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Chaport Assistant",
instructions=(
"You help users interact with Chaport. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Chaport"
)
print(result.final_output)
asyncio.run(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 Chaport MCP Server
Connect your Chaport account to any AI agent and take full control of your customer messaging operations through natural conversation. Streamline how you engage with website visitors and manage your support team.
The OpenAI Agents SDK auto-discovers all 8 tools from Chaport through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Chaport, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Live Messaging — Send and receive messages in active chat sessions natively
- Visitor Intelligence — List and retrieve details for recent website visitors and their contact info flawlessly
- Conversation History — Access full chat histories and event logs to understand customer context securely
- Operator Oversight — Monitor agent availability and list all operators in your account in real-time
- Status Management — Identify which agents are currently online to manage support load flawlessly
- Agent Insights — Retrieve your own operator profile and account metadata directly within your workspace
The Chaport MCP Server exposes 8 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.
How to Connect Chaport to OpenAI Agents SDK via MCP
Follow these steps to integrate the Chaport MCP Server with OpenAI Agents SDK.
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 8 tools from Chaport
Why Use OpenAI Agents SDK with the Chaport MCP Server
OpenAI Agents SDK provides unique advantages when paired with Chaport 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
Chaport + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Chaport MCP Server delivers measurable value.
Automated workflows: build agents that query Chaport, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Chaport, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Chaport tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Chaport to resolve tickets, look up records, and update statuses without human intervention
Chaport MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Chaport to OpenAI Agents SDK via MCP:
get_chat_history
Retrieve the message history and events for a specific chat
get_my_agent_profile
Retrieve information about the authenticated agent
get_visitor_details
Get detailed information for a specific visitor
get_visitor_last_chat
Retrieve the last chat session for a specific visitor
list_chaport_operators
List all operators in your Chaport account
list_online_agents
List all agents who are currently online
list_website_visitors
List recent visitors to your website
send_agent_message
Send a message to a visitor in a specific chat
Example Prompts for Chaport in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Chaport immediately.
"List all website visitors from the last hour."
"Which support agents are currently online in Chaport?"
"Show me the message history for chat ID 123456."
Troubleshooting Chaport MCP Server with OpenAI Agents SDK
Common issues when connecting Chaport to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Chaport + OpenAI Agents SDK FAQ
Common questions about integrating Chaport MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect Chaport 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 Chaport to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.