How to Use the HubSpot CRM MCP in OpenAI Agents SDK

Q: How do I connect the HubSpot CRM MCP Server to the OpenAI Agents SDK?

Install openai-agents via pip. Initialize MCPServerStreamableHttp with your endpoint URL and pass it to your Agent constructor in the mcpservers array.

Q: Does the agent know which tools to use automatically?

Yes. Tools like hscreatecompany and hscreatecontact are auto-discovered by the framework. Set cacheToolsList=True to speed up the initialization.

Q: Can the OpenAI Agents SDK read custom properties in HubSpot CRM?

It pulls everything. When you run hsgetcontact, the payload includes standard fields and any custom properties you built for that specific record.

Connect the OpenAI Agents SDK to your HubSpot MCP Server. Build production agents that manage contacts and track sales activities safely.

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Connect HubSpot CRM MCP to OpenAI Agents SDK

Create your Vinkius account to connect HubSpot CRM 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 CRM with OpenAI Agents SDK

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Connect the MCP Server for CRM Operations

`hs_search_contacts` and `hs_get_contact` let your agent read the exact state of your HubSpot database. If a user asks for a specific lead, the agent pulls their lifecycle stage, owner, and custom properties directly into context. You can then trigger `hs_update_contact` to fix bad phone numbers or shift a lead to SQL status. The OpenAI Agents SDK guardrails ensure these updates happen exactly as defined, preventing rogue edits to your source of truth.

Map Relationships Automatically

`hs_get_associations` maps out how your data connects. When an agent looks at a company record, it needs to know who actually works there. This tool grabs every contact tied to a company ID instantly. Combine that with `hs_search_companies` to find target accounts by domain. Once the agent identifies the right organization, it pulls the associated decision-makers and feeds that list straight into your next prompt.

Log Activity and Next Steps

`hs_create_note` drops meeting summaries and call transcripts straight onto the contact timeline. You don't have to copy-paste anything. The agent formats the output in HTML and attaches it to the right record. It also handles follow-ups using `hs_create_task`. Your agent sets the priority, formats the ISO due date, and assigns the action item to the contact owner before the meeting even ends.

Setup guide

Set up HubSpot CRM 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 CRM tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives HubSpot CRM 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 CRM 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 CRM Agent",
            instructions="You have access to HubSpot CRM 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 CRM MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Initialize `MCPServerStreamableHttp` with your endpoint URL and pass it to your Agent constructor in the `mcp_servers` array.

Yes. Tools like `hs_create_company` and `hs_create_contact` are auto-discovered by the framework. Set `cacheToolsList=True` to speed up the initialization.

It pulls everything. When you run `hs_get_contact`, the payload includes standard fields and any custom properties you built for that specific record.

The API throws an error, usually because of a duplicate email. The agent catches that failure and can decide to run `hs_update_contact` instead of creating a new record.

Vinkius runs this MCP integration inside a V8 Isolate Sandbox. Your emails, phone numbers, and deal notes exist in memory just long enough to process the API request, then the environment is destroyed.

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