How to Use the DealHub CPQ MCP in OpenAI Agents SDK

Ship sales agents that actually close deals. Connect the OpenAI Agents SDK to DealHub CPQ and let them manage quotes and opportunities.

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Connect DealHub CPQ MCP to OpenAI Agents SDK

Create your Vinkius account to connect DealHub CPQ 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 DealHub CPQ with OpenAI Agents SDK

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Automate Quote and Opportunity Creation

Let your agent handle the initial sales legwork. It can provision new deals with `create_opportunity` and spin up a fresh quote sequence using `create_quote`. This connects directly to your CRM block, so everything stays in sync from the start. The OpenAI SDK's guardrails mean you can trust your agent to update deals correctly. It will use `update_opportunity` to adjust deal parameters based on new info, and you get full tracing in the OpenAI dashboard to see every action it takes. No more manual data entry.

Get Real-Time Deal Status

Your agent doesn't need to be blind. It can check the status of any quote with `get_quote_status`, pulling the latest logging data from the cloud. You can have it monitor high-value deals and alert your team when something changes. Need a bigger picture? The agent can call `list_opportunities` or `list_quotes` to get a full rundown of active deals. The SDK's ability to create specialized agents means you can build one agent for reporting, then hand off tasks to another agent that acts on the data.

Administer DealHub with an MCP Server

This isn't just for sales reps. You can build admin agents, too. Have your agent get a list of all current users with `list_users` to audit access or prepare for system changes. It's a simple way to automate user management. The `sync_crm` tool is powerful — it's a one-way operation to clean up validation flags. With the OpenAI SDK, you can put this tool behind a human-in-the-loop guardrail, requiring confirmation before your agent triggers an irreversible sync. It's the right way to manage a powerful MCP tool.

Setup guide

Set up DealHub CPQ 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 DealHub CPQ tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DealHub. 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.

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Common questions about DealHub CPQ MCP in OpenAI Agents SDK

You just need the MCP server endpoint from Vinkius. The SDK's `MCPServerStreamableHttp` class handles the connection, and the agent auto-discovers all the DealHub CPQ tools automatically. No manual tool definition is needed.

Yes. While the agent discovers all tools by default, you can implement guardrails within your agent's logic. This lets you restrict access to sensitive operations like `sync_crm` or require human approval before execution.

OpenAI's dashboard provides full tracing for every action your agent takes. When your agent calls a tool like `create_quote` on the DealHub CPQ server, you'll see the exact inputs and outputs, which is critical for debugging production systems.

Yes, that's a core feature of the SDK. You can create one agent specialized in reporting (`list_opportunities`) and another that acts on that data (`update_opportunity`). The framework is designed for these kinds of handoffs between specialized agents.

Absolutely. The Vinkius MCP server handles authentication, and all communication is over a secure channel. Your agent only interacts with DealHub CPQ opportunity, quote, and user data through the sandboxed server, which operates on zero-trust principles.

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