How to Use the Deskpro MCP in OpenAI Agents SDK

Q: Can I use Deskpro with OpenAI Agents SDK for automated triage?

Yes. You can route tickets by status or department using listhelpdesktickets within your agent logic. This lets your code decide how to handle incoming requests automatically.

Build production-ready support agents using Deskpro and the OpenAI Agents SDK.

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Connect Deskpro MCP to OpenAI Agents SDK

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

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Manage support tickets in OpenAI Agents SDK

Your agent handles incoming requests by calling `create_new_helpdesk_ticket` directly. It grabs the subject and email from the conversation flow, then pushes them to your helpdesk without you lifting a finger. Once the ticket exists, the agent uses `update_ticket_properties` to change status or priority. This keeps your queue moving while the agent follows your predefined safety logic.

Search knowledge via Deskpro MCP Server

The agent looks up internal documentation using `list_kb_articles` to find relevant answers. It then pulls specific details with `get_article_content` to provide accurate guidance to your users. Everything stays in context. The agent never hallucinates documentation because it only reads what you have stored in your helpdesk system.

Automate agent staff coordination

You can query your team members using `list_helpdesk_agents` to assign tasks effectively. The agent understands who is available based on your latest staff directory data. It checks current workflows via `list_configured_webhooks` to ensure your automated triggers remain active. Your system stays synced without manual monitoring.

Setup guide

Set up Deskpro 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 Deskpro tools at runtime.
3

Create your Agent

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

Run the agent

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

Yes. You can route tickets by status or department using `list_helpdesk_tickets` within your agent logic. This lets your code decide how to handle incoming requests automatically.

Vinkius manages the connection so you only need one endpoint token. The SDK handles the transport layer while our infrastructure keeps your credentials private.

It integrates directly into your agent constructor. The toolset is discovered automatically, allowing you to mix Deskpro operations with your custom logic.

They stay on the Vinkius server. Your local environment never touches your API keys, keeping your production setup clean.

We enforce strict isolation for every request. Only your specific agent can access ticket contents or user profiles, ensuring your customer data never leaks.

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