Hubspot

The Hubspot agent connector is a Python package that equips AI agents to interact with Hubspot through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP.

HubSpot is a CRM platform that provides tools for marketing, sales, customer service, and content management. This connector provides access to contacts, companies, deals, tickets, and custom objects for customer relationship management and sales analytics.

Example questions

The Hubspot connector is optimized to handle prompts like these.

• List recent deals
• List recent tickets
• List companies in my CRM
• List contacts in my CRM
• Show me all deals from {company} this quarter
• What are the top 5 most valuable deals in my pipeline right now?
• Search for contacts in the marketing department at {company}
• Give me an overview of my sales team's deals in the last 30 days
• Identify the most active companies in our CRM this month
• Compare the number of deals closed by different sales representatives
• Find all tickets related to a specific product issue and summarize their status

Unsupported questions

The Hubspot connector isn't currently able to handle prompts like these.

• Create a new contact record for {person}
• Update the contact information for {customer}
• Delete the ticket from last week's support case
• Schedule a follow-up task for this deal
• Send an email to all contacts in the sales pipeline

Installation

uv pip install airbyte-agent-hubspot

Usage

Connectors can run in open source or hosted mode.

Open source

In open source mode, you provide API credentials directly to the connector.

from airbyte_agent_hubspot import HubspotConnector
from airbyte_agent_hubspot.models import HubspotAuthConfig

connector = HubspotConnector(
    auth_config=HubspotAuthConfig(
        client_id="<Your HubSpot OAuth2 Client ID>",
        client_secret="<Your HubSpot OAuth2 Client Secret>",
        refresh_token="<Your HubSpot OAuth2 Refresh Token>",
        access_token="<Your HubSpot OAuth2 Access Token (optional if refresh_token is provided)>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@HubspotConnector.tool_utils
async def hubspot_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Hosted

In hosted mode, API credentials are stored securely in Airbyte Cloud. You provide your Airbyte credentials instead. If your Airbyte client can access multiple organizations, also set organization_id.

This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.

from airbyte_agent_hubspot import HubspotConnector, AirbyteAuthConfig

connector = HubspotConnector(
    auth_config=AirbyteAuthConfig(
        customer_name="<your_customer_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@HubspotConnector.tool_utils
async def hubspot_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Full documentation

Entities and actions

This connector supports the following entities and actions. For more details, see this connector's full reference documentation.

Authentication

For all authentication options, see the connector's authentication documentation.

Hubspot API docs

See the official Hubspot API reference.

Version information

• Package version: 0.15.119
• Connector version: 0.1.14
• Generated with Connector SDK commit SHA: b541ca65d697dad0915d1b5b8d8c756cd18299a7
• Changelog: View changelog