How to Use the HubSpot Operations Hub MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK use the HubSpot Operations Hub server to create new fields?

Your agent calls the hscreateproperty tool. You provide the details like name, label, and type, and the MCP server handles the API call to HubSpot. The SDK's tracing shows you the exact call and response.

Q: Can I list all my deal stages from HubSpot Operations Hub with the OpenAI Agents SDK?

Yes. Your agent will use the hslistallpipelines tool. It returns the names, IDs, and order of all your pipeline stages, which you can use to configure other agent actions.

Q: What's the best way to manage HubSpot Operations Hub workflows using the OpenAI Agents SDK?

Have your agent call hslistworkflows. It gives you a snapshot of all automations, their status, and action count. This is perfect for auditing your setup before deploying a new agent that might interact with them.

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Connect HubSpot Operations Hub MCP to OpenAI Agents SDK

Create your Vinkius account to connect HubSpot Operations Hub 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 HubSpot Operations Hub with OpenAI Agents SDK

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Audit and Organize Your CRM

Get a clear picture of your HubSpot setup. Your agent can use `hs_list_properties` to pull every field on your contacts or deals, then use `hs_list_property_groups` to see how they're organized. No more guessing what internal field names are. This lets you build tools to find unused properties or map data for a migration. Your agent can run `hs_list_all_pipelines` to check deal stages before moving data, making sure nothing gets lost in the shuffle.

Automate Property and Workflow Management

Stop creating custom fields by hand. An agent built with the OpenAI Agents SDK can take a spec and run `hs_create_property` to add new fields to contacts or companies, correctly typed and in the right group. Before you change anything, you can have the agent check what's already running. It uses `hs_list_workflows` to give you a list of every active automation, so you don't accidentally break a critical lead nurturing sequence. This MCP Server gives your agent the context it needs.

Manage User Access and Assignments

Figure out who owns what. Your agent can call `hs_list_owners` to get a full roster of users, their emails, and their active status. It's what you need to build assignment logic or run an access audit. The OpenAI SDK's guardrails are key here. You can set up checks to prevent an agent from reassigning records incorrectly, using the data from this MCP tool as a source of truth for who is an active user.

Setup guide

Set up HubSpot Operations Hub 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 HubSpot Operations Hub tools at runtime.
3

Create your Agent

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

Run the agent

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

Your agent calls the `hs_create_property` tool. You provide the details like name, label, and type, and the MCP server handles the API call to HubSpot. The SDK's tracing shows you the exact call and response.

Yes. Your agent will use the `hs_list_all_pipelines` tool. It returns the names, IDs, and order of all your pipeline stages, which you can use to configure other agent actions.

Have your agent call `hs_list_workflows`. It gives you a snapshot of all automations, their status, and action count. This is perfect for auditing your setup before deploying a new agent that might interact with them.

There are six tools. They cover creating and listing properties, and listing pipelines, owners, property groups, and workflows in your HubSpot account.

This server only touches metadata about your HubSpot configuration. It can access CRM property definitions, pipeline structures, workflow names, and a list of user names and emails via `hs_list_owners`. It does not access individual contact, company, or deal records. All connections are ephemeral and authenticated via your Vinkius token.

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