Can my agent create a new quote linked to a CRM opportunity?

Yes. Use the 'create_quote' tool. Provide the external opportunity ID from Salesforce or HubSpot. The agent will generate a fresh CPQ sequence linked to that native CRM block, allowing you to start the sales process immediately.

How do I check if a customer has signed a specific quote?

Use the 'get_quote_status' tool with the quote ID. Your agent will retrieve explicit cloud logs to parse if the PDF was viewed, signed, or rejected, providing real-time visibility into the closing process.

Can I force a synchronization between DealHub and my CRM via the agent?

Absolutely. The 'sync_crm' tool forces a real-time data ingestion loop against SFDC or MS Dynamics providers. This ensures that the opportunity data in your CRM matches the latest CPQ boundaries in DealHub.

DealHub CPQ MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: DealHub CPQ
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DealHub CPQ through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="DealHub CPQ Assistant",
            instructions=(
                "You help users interact with DealHub CPQ. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from DealHub CPQ"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 DealHub CPQ MCP Server

Connect your DealHub account to any AI agent and take full control of your CPQ (Configure, Price, Quote) and sales workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from DealHub CPQ through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries DealHub CPQ, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Quote Orchestration — Identify bounded CRM records and generate fresh CPQ sequences linked natively to your Salesforce or HubSpot blocks
Live Playbook Access — Perform structural extraction of quote properties and retrieve secure tokenized URLs to drop users deeply into the Playbook editing flow
Opportunity Tracking — List assigned ongoing deals and read specific synced custom fields mirroring your core CRM limits
Deal Management — Provision highly-available deal shells and updateStage properties instantly across CPQ arrays
Quote Status Auditing — Retrieve explicit cloud logs to parse if PDFs were viewed, signed, or rejected by customers in real-time
CRM Synchronization — Force real-time data ingestion loops against SFDC or MS Dynamics providers to ensure absolute data consistency

The DealHub CPQ MCP Server exposes 10 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 DealHub CPQ to OpenAI Agents SDK via MCP

Follow these steps to integrate the DealHub CPQ 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 10 tools from DealHub CPQ

Why Use OpenAI Agents SDK with the DealHub CPQ MCP Server

OpenAI Agents SDK provides unique advantages when paired with DealHub CPQ 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

DealHub CPQ + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the DealHub CPQ MCP Server delivers measurable value.

Automated workflows: build agents that query DealHub CPQ, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries DealHub CPQ, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through DealHub CPQ tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query DealHub CPQ to resolve tickets, look up records, and update statuses without human intervention

DealHub CPQ MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect DealHub CPQ to OpenAI Agents SDK via MCP:

create_opportunity

Provision a highly-available JSON Payload generating hard Customer bindings

create_quote

1/quote/create` generating a fresh CPQ sequence linked to a native CRM block. Identify bounded CRM records inside the Headless DealHub Platform

get_opportunity

Dispatch an automated validation check routing explicit Gateway history

get_quote_status

Retrieve explicit Cloud logging tracing explicit Vault limits

list_opportunities

Enumerate explicitly attached structured rules exporting active Billing

list_quotes

Identify precise active arrays spanning native Gateway auth

list_users

Identify precise active arrays spanning native Hold parsing

open_quote

Perform structural extraction of properties driving active Account logic

sync_crm

Irreversibly vaporize explicit validations extracting rich Churn flags

update_opportunity

Inspect deep internal arrays mitigating specific Plan Math

Example Prompts for DealHub CPQ in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DealHub CPQ immediately.

"Create a new quote for opportunity 'opp_abc123' and customer 'Acme Corp'"

"What is the status of quote 'dh_quote_789'?"

"Sync opportunity 'opp_123' with Salesforce"

Troubleshooting DealHub CPQ MCP Server with OpenAI Agents SDK

Common issues when connecting DealHub CPQ to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

DealHub CPQ + OpenAI Agents SDK FAQ

Common questions about integrating DealHub CPQ MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.