- What’s live now: HubSpot connectors for ChatGPT and Claude
- What’s in beta: HubSpot + Google Gemini for Gmail
- What’s planned: HubSpot + Microsoft 365 Copilot integration
- What enables extensibility: Model Context Protocol (MCP) — for teams building secure, AI-driven solutions with HubSpot data
What’s Happening, and Why It Matters Now
HubSpot Connector for ChatGPT (Live)
- “How many high-priority tickets were created last week?”
- Run more strategic queries like:
- “Analyse our deal velocity by pipeline stage over the past quarter”
- Pull contextual data instantly for planning, reporting, or 1:1s
Key considerations:
- Supports read-only access to contacts, companies, deals, and tickets
- Respects all HubSpot permission sets
- Custom properties are supported
- Sensitive properties are not accessible
- Currently supported in ChatGPT Web only
Learn more: Explore OpenAI ChatGPT connector
HubSpot Connector for Claude (Live)
Source: HubSpot
- “Summarise my active deals by rep and close date”
- “Group open tickets by priority and support channel”
- “Find contacts who opened but didn’t click our last campaign, and generate a chart”
Setup and requirements:
- Supports contacts, companies, deals, and tickets
- Read-only access only; no edits or writes to the CRM
- Each user only sees what they’re permitted to access in HubSpot
- Available in multiple languages (based on Claude support)
- Does not access sensitive data properties
- Requires a HubSpot login and a Claude subscription at a paid tier
Learn more: About the Anthropic's Claude connector.
HubSpot + Gemini for Google Workspace (Private Beta)
Source: HubSpot
- View associated contact, company, and deal info
- Create a contact, note or task in HubSpot
- Ask Gemini to summarise the email and draft a reply based on CRM data
Microsoft 365 Copilot Integration (In Planning)
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:
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Secure, permission-aware AI context from HubSpot
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Scalable foundation for building custom AI features into internal tools
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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:
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Less time spent chasing reports
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Increased CRM adoption across roles
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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!