How to Use the Dixa MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK handle Dixa ticket assignments?

Yes, the agent uses the assigntoself tool to claim open conversations. This updates the assignee in your dashboard immediately.

Q: Does OpenAI Agents SDK support Dixa webhook tracking?

The listactivewebhooks tool lets your agent inspect active event configurations. You can monitor routing rules and event triggers directly from your Python runtime.

Q: How do I list my support teams?

Run the listsupportteams tool to see all active agent groups. Your agent uses this data to escalate complex issues to the correct department.

Get your OpenAI Agents SDK production setups routing customer conversations and resolving Dixa tickets with zero-config tool discovery.

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Connect Dixa MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dixa 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 Dixa with OpenAI Agents SDK

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Instant ticket routing inside OpenAI Agents SDK

The `assign_to_self` and `create_conversation` tools let your agents claim incoming customer chats and spin up new tickets instantly. We built this to bypass manual routing queues entirely. When an agent picks up a task, it binds the conversation to their session ID in real-time. This MCP Server setup handles incoming spikes without dropping messages. Your OpenAI Agents SDK system monitors the incoming queue and assigns tickets to the right people before your response times slip.

Deep user context for OpenAI Agents SDK

The `get_conversation_details` and `list_end_users` tools pull complete history and profile data directly into your agent's context window. You get the actual customer records instead of guessing who is on the other end. This prevents agents from asking repetitive questions that annoy your customers. Connecting this to your OpenAI dashboard lets you trace exactly how the agent parses user intent. It runs checks against your existing customer profiles to keep your records clean.

Resolving tickets through an MCP Server

The `resolve_conversation` and `list_support_teams` tools let your agent close out resolved issues and coordinate with human support groups. It changes the ticket status to closed in your main dashboard the moment the agent finishes the job. No manual updates required. Because this runs through a secure MCP Server, your agent executes these actions with built-in guardrails. You verify the agent's decision before it writes any changes back to your support database.

Setup guide

Set up Dixa 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 Dixa tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Dixa 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="Dixa Agent",
            instructions="You have access to Dixa 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 Dixa MCP in OpenAI Agents SDK

Use the MCPServerStreamableHttp class to point to your Vinkius endpoint. This MCP integration passes the server instance directly to your Agent constructor. The SDK automatically discovers all twelve tools.

Yes, the agent uses the `assign_to_self` tool to claim open conversations. This updates the assignee in your dashboard immediately.

The `list_active_webhooks` tool lets your agent inspect active event configurations. You can monitor routing rules and event triggers directly from your Python runtime.

Run the `list_support_teams` tool to see all active agent groups. Your agent uses this data to escalate complex issues to the correct department.

Your customer profiles and conversation logs never persist on Vinkius servers. Every request runs in an isolated, ephemeral V8 sandbox that destroys all session data immediately after execution.

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