How to Use the Helpwise MCP in OpenAI Agents SDK

Connect your OpenAI Agents SDK to Helpwise. Manage shared inboxes and automate customer replies directly from your agent pipeline.

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Connect Helpwise MCP to OpenAI Agents SDK

Create your Vinkius account to connect Helpwise 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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Setup Helpwise with OpenAI Agents SDK

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Automate your shared inbox workflows

Your OpenAI Agents SDK can now pull live conversations directly from your team mailboxes. Use `list_mailboxes` to see what is active and `list_conversations` to monitor incoming customer requests. This lets your agents triage support volume before a human even sees the ticket. You get full visibility into the queue without leaving your execution environment.

Manage contacts and communication

Keep your CRM data accurate by using `create_contact` to log new customers as they interact with your team. You can also pull existing contact records using `list_contacts` to verify identity before taking action. Your agent handles the heavy lifting of data entry. It ensures that every conversation is linked to the correct profile, keeping your records clean and actionable.

Send emails through your agent

Your agent can now draft and send responses directly to customers using `send_email`. It pulls the necessary context from `get_conversation_details` to ensure the reply is relevant and accurate. This removes the need for manual copy-pasting between platforms. Your agent acts on the thread, sends the update, and keeps the conversation moving forward.

Setup guide

Set up Helpwise 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

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

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 Helpwise tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Helpwise tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Helpwise 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="Helpwise Agent",
            instructions="You have access to Helpwise tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Helpwise MCP in OpenAI Agents SDK

You connect the server by passing the endpoint to the MCPServerStreamableHttp class. Once initialized, your OpenAI Agents SDK automatically detects and registers all seven available tools for immediate use.

Yes. Your agent only accesses the specific conversation details you permit through the MCP protocol. The OpenAI Agents SDK executes these calls within your defined security boundaries.

The server provides a direct interface to your Helpwise data. Your OpenAI Agents SDK fetches the latest mailbox state whenever the agent triggers the list tools.

The agent receives an error response directly from the Helpwise API. You can handle these exceptions within your agent logic to retry or alert your team.

Your data stays within the encrypted MCP tunnel between your host and the Helpwise API. We never store your conversation logs on our servers, ensuring your customer messages remain private.

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