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AI can generate almost anything. The problem is that it has no idea if what it’s generating is actually right for you. In the enterprise, Salesforce complexity is an unavoidable reality born from years of customization, legacy integrations, and the growing demands of global scale.
Salesforce isn't one-size-fits-all because every industry operates under a different set of gravitational laws. A best practice in healthcare—where the priority is patient data isolation and HIPAA-compliant privacy—might be a catastrophic bottleneck in fintech, where success depends on sub-second transaction processing and high-volume data throughput. Without this deep situational context, AI is more than just generic; it's a risk to the very stability of your system.
By grounding your tools in a dataset that spans thousands of successful orgs, Hubbl is providing the "missing link" between general AI capability and specific enterprise execution.
Today, we’re opening that link up.
We’re excited to introduce the Hubbl Model Context Protocol (MCP) and API, bringing Hubbl’s Org Intelligence directly into the tools where you already plan and build. Our MCP and API allow Salesforce teams to pull live benchmarks and personalized recommendations directly into Claude, Cursor, Codex, Agentforce Vibes or any LLM. It turns your favorite AI tools into context-aware experts that know exactly how your orgs stack up against industry standards and best practices, enabling you to design solutions rooted in real-world insights.
Today’s generative AI is undeniably powerful, but it operates with a significant structural blind spot. While a standard LLM has access to general market research, and modern code builders have visibility into your specific Salesforce metadata, neither has been trained on the collective wisdom of thousands of diverse Salesforce environments.
This is where Hubbl MCP changes the equation. It doesn't just bring Hubbl’s intelligence to your chatbots and builders; it introduces a level of unmatched Salesforce context and expertise that simply hasn't existed in the AI layer until now.
With Hubbl MCP and API, you can now bring that context directly into tools like Cursor, Claude Code, or Agentforce Vibes. We’re moving Hubbl’s intelligence from a standalone platform directly into the places where teams actually work. By arming internal teams and consultants with real-time, peer-validated benchmarks, we are enabling them to build faster and with the certainty that their architecture is optimized for their specific business needs.
Instead of asking:
“What’s the best way to design this solution?”
You can ask:
“How does our automation complexity compare to fintech companies in the US that are 5 years into their Salesforce journey?” or “Is the amount of technical debt we have normal for manufacturing companies our size?”
Now, your AI isn’t guessing. It’s grounding its answers in real-world patterns from high-performing orgs. As Rob Acker puts it:
“In a world of generative AI, the bottleneck has now become ensuring that code is the right fit for your unique situation. By opening our API and embracing MCP, we’re enabling teams to benchmark their work against the world’s best orgs so an enterprise architect can now validate a complex global rollout against proven industry standards in seconds, right from their AI workspace.”
We know that with great data comes great responsibility. A common question we get is: "How do I learn from my peers without exposing my own data?"
Hubbl is designed with that in mind.
Our machine learning models provide firmographic context—like industry and company size—without ever sharing proprietary configurations or sensitive metadata. Your data remains siloed and secure within your org, even as you benefit from collective intelligence, without giving up control.
Early adopters are already seeing how this changes the game for Salesforce strategy.
Mary Fratto Rowe, Senior Partner & Global Salesforce Partnership Leader at IBM, shared her experience:
“The ability to bring Hubbl’s benchmarking data directly into our AI workflows is a game-changer. It allows our teams to validate Salesforce strategies against real-world industry benchmarks in real-time. We aren't just asking an AI for its opinion anymore; we’re asking it to apply Hubbl’s context to our specific architectural challenges.”
If you’re already using AI to build on Salesforce, the next step is obvious: give it context.
With the Hubbl API and MCP server, you can:
This is more than a new way to access data. Our position is simple: the future of Salesforce work belongs to teams who can bridge the gap between AI speed and architectural certainty. We believe the age of AI shouldn't be about just generating more code—it should be about making sure that code is the right fit for your specific environment from the very first prompt.
By bringing peer intelligence directly into the tools where the work happens, we’re enabling a future where every builder is grounded in what is proven to work. It’s a faster, more secure, and more informed way to build, and we’re proud to be the ones providing that missing layer of context.
Contact Hubbl to learn more about activating our MCP/API for Org Intelligence here.
