Give agents tools for secure, real-time access to fetch, search, write, and sync across every system, with replication, entity mapping, and auth built-in.
About this Connector
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.
CRM
Sales Analytics
Customer Data
Version Information
Package version
0.15.74
Connector version
0.1.8
SDK commit
5b20f488dec0e8f29410823753106603c23a4b65
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Installation & Usage
1
Install Package
Using uv or pip
bash
uv pip install airbyte-agent-hubspot
2
Import
Initialize and use
python
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)>"
)
)3
Tool
Add tools to your agent
python
@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 {})Supported Entities & Actions
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| Entity | Actions |\n|--------|---------|\n| Contacts | [List](./REFERENCE.md#contacts-list), [Get](./REFERENCE.md#contacts-get), [API Search](./REFERENCE.md#contacts-api_search) |\n| Companies | [List](./REFERENCE.md#companies-list), [Get](./REFERENCE.md#companies-get), [API Search](./REFERENCE.md#companies-api_search) |\n| Deals | [List](./REFERENCE.md#deals-list), [Get](./REFERENCE.md#deals-get), [API Search](./REFERENCE.md#deals-api_search) |\n| Tickets | [List](./REFERENCE.md#tickets-list), [Get](./REFERENCE.md#tickets-get), [API Search](./REFERENCE.md#tickets-api_search) |\n| Schemas | [List](./REFERENCE.md#schemas-list), [Get](./REFERENCE.md#schemas-get) |\n| Objects | [List](./REFERENCE.md#objects-list), [Get](./REFERENCE.md#objects-get) |
Example Prompts
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Show me all deals from \{company\} this quarter - What are the top 5 most valuable deals in my pipeline right now? - List recent tickets from \{customer\} and analyze their support trends - 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
Why Airbyte for AI Agents?
Built for production AI workloads with enterprise-grade reliability
Agent-Native Design
Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.
Secure Authentication
Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.
Production Ready
Battle-tested connectors with comprehensive error handling, logging, and retry logic.
Open Source
Fully open source under the MIT license. Contribute, customize, and extend freely.
Works with your favorite frameworks
🦜
LangChain
🦙
LlamaIndex
🤖
CrewAI
⚡
AutoGen
🧠
OpenAI Agents SDK
🔮
Claude Agents SDK
Frequently Asked Questions
Didn't find your answer? Please don't hesitate to reach out.
The HubSpot connector supports OAuth2 authentication. You need to provide a client ID, client secret, and refresh token. An access token is optional if a refresh token is provided.
Can I use this connector with any AI agent framework?
The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.
Does this connector support write operations?
No, the HubSpot connector currently focuses on read operations only. It does not support creating, updating, or deleting records. Write support may be added in future versions.
How is this different from the Airbyte data connector?
Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.
Will there be a platform for agent connectors?
The hosted version with secure credential storage through Airbyte Cloud is already available. See the hosted usage section in the documentation for setup instructions.
