The Latest HubSpot AI Connectors You Should Know About

HubSpot is levelling up how your team interacts with CRM data, not just within the HubSpot platform, but inside the AI tools you're already using. Two of the most powerful integrations are already live: the HubSpot connector for OpenAI's ChatGPT, and the newly launched HubSpot connector for Anthropic's Claude. Whether you're in sales, marketing, support, or RevOps, these AI connectors reduce manual tasks, speed up decision-making, and make your CRM feel a whole lot smarter.

 

This guide breaks down:

Imagine that your sales manager asks for a breakdown of deals closing this month, sorted by rep. Your support lead wants to review ticket resolution patterns across channels. Your marketing director needs to segment contacts who engaged with a recent campaign but didn’t convert.

 

You could spend an hour gathering exports, applying filters, building reports — or you could ask.

 

Just ask.

 

And get an answer in seconds, pulled directly from HubSpot, structured and ready to act on.

This is no longer a future scenario. It’s already happening inside ChatGPT, Claude, Gmail and soon, potentially, Microsoft Copilot. HubSpot’s AI connectors are changing how teams interact with data.

 

And if your CRM is your company’s source of truth, this shift matters.

 

For years, CRM adoption depended on people logging in, learning the interface, and remembering where to click. Even in well-run businesses, that’s always been a hurdle. What these AI connectors do is remove the interface entirely.

 

They bring HubSpot’s structured data into the tools your teams are already using, not as a report, but as an interactive, intelligent assistant. This change not only affects how fast teams work but also how deeply they engage with CRM insights. Whether you're a head of RevOps, a Customer Success Manager, or a Data Officer tasked with governance and adoption, this evolution deserves attention.

 

Let’s walk through what’s live, what’s in pilot, and what’s on the horizon.

 

Available for: OpenAI Pro, Team, Enterprise, or Edu plans (Web only)

 

 

 

You can ask questions like:

 

This connector reduces the effort required to access accurate CRM data, eliminating friction for sales managers, team leads, and support representatives alike. It also helps reduce internal dependencies on operations teams for everyday insight.

 

 

 

 

Available for: Claude Pro, Max, Team, or Enterprise plans (Web + Desktop)

 

You might ask:

 

While ChatGPT excels at flexible conversation, Claude is especially helpful for users who need structure, whether that’s visual outputs or better breakdowns. For marketing, customer success, or RevOps teams running operational reviews, this can save hours each month.

 

 

 

 

Gemini for Google Workspace is Google’s AI assistant embedded into Gmail, Docs, Sheets, and other Workspace tools. HubSpot is actively piloting an integration designed to support sales productivity inside Gmail.

 

From a single Gmail thread, a rep can:

Sales teams often work from their inbox. This integration reduces the number of clicks and steps required to keep HubSpot up to date, resulting in more accurate CRM data, less manual input, and fewer forgotten follow-ups.

Interested in early access? Reach out to your HubSpot Customer Success Manager or HubSpot Solutions Partner for assistance.

 

 

 

 

An integration between Microsoft 365 Copilot and HubSpot is under consideration, though there is currently no public timeline. This would enable CRM context inside Outlook, Teams, and other Microsoft tools, something many sales and account teams are already asking for.

If this is relevant to your business, we recommend upvoting the request to help prioritise it:

 

 

For AI Developers: HubSpot’s Model Context Protocol (MCP)

As businesses explore how to bring AI deeper into their workflows, one challenge consistently emerges: how do you feed context to models securely and responsibly, without breaking compliance or misusing CRM data?

That’s exactly what HubSpot’s Model Context Protocol (MCP) is designed to solve.

MCP is a developer framework that enables teams to build AI-powered features, like custom GPTs, copilots, and assistants, using CRM data from HubSpot, with built-in awareness of object relationships, permissions, and data security.

What it enables:

• Secure, permission-aware AI context from HubSpot

• Scalable foundation for building custom AI features into internal tools

• Unified, structured data flow for third-party models (e.g. OpenAI, Anthropic, etc.)

MCP is now publicly documented and is part of HubSpot’s AI developer tooling for teams building internal copilots, custom LLM integrations, or context-aware assistants across sales, marketing, and service operations.

Learn more: Explore the HubSpot MCP

 

 

What This Means for Data, Teams, and Adoption

There’s a shift in how people engage with data. AI provides teams with faster answers, better visibility, and more consistent context, eliminating the need for custom dashboards or data analysts to retrieve the numbers manually.

At Cat Media, we’re already seeing our clients benefit from:

• Less time spent chasing reports

• Increased CRM adoption across roles

• Improved strategic decision-making, driven by data, not guesswork

For data leaders, it also means greater confidence in how the CRM is being used. When AI assistants rely on live data with built-in permissions, governance doesn’t take a back seat; it becomes part of the workflow.

OpenAI and Claude connectors are live now, and they’re already shaping how teams work.

If HubSpot is the central nervous system of your commercial function, AI isn’t optional anymore;  it’s how you get more value out of the data you already have. Now the question is, can you trust your data? But that's a topic for another day. In the meantime, we recommend exploring data quality solutions.

For organisations concerned about data security and compliance, especially when introducing AI, HubSpot has invested heavily in transparency. You can explore how HubSpot manages AI usage, privacy, and compliance via their AI Trust Center, which outlines what data is used, what isn’t, and how controls are managed. We’ve also written a detailed guide on how to set up the HubSpot Trust Center and assign a Security Contact to ensure your team receives proactive updates on compliance and product changes — read it here.

 

Need help activating any of this? We support teams with setup, adoption planning, and long-term enablement. Book a strategy call!