Introducing AgentLink

If you’re a SaaS company, AI is now existential.

Your board wants to see AI on the roadmap. Your customers want to do as much as possible from within their favorite generative AI platforms. And while you’re evaluating your next move, the hottest AI company just got funded (again).

Believe it or not, if you’re an executive at a SaaS company, this is now your moment. Imagine a world where your prized, tried-and-true SaaS seamlessly transitions to the AI era, capturing the latest entry point into your product: the Model Context Protocol (MCP).

Meet Frontegg AgentLink, the enterprise-grade fast track to making your SaaS product usable through the agentic platforms that users increasingly prefer.

AI interfaces are becoming the default. But they’re unpredictable.

Today’s users expect more from SaaS than buttons and dashboards. They are starting to say, “Hey ChatGPT, update my dashboard” instead of logging into it. SaaS companies like GitHub, Notion, and Canva are already listed as connected apps in GenAI tools.

But most MCP implementations are too immature for production. Exposing your SaaS to agentic interfaces without the right guardrails is a liability for your customers, and can tarnish your reputation as an established provider. In one case, a Supabase MCP agent revealed secret tokens, exposing them publicly despite existing security controls.

Once AI agents access your SaaS product through MCP, A2A, or other standards, traditional customer IAM tools stop working. Without a layer of control:

• Agents can bypass authorization and access sensitive data.
• Their actions are invisible and unaudited.
• Every integration becomes a potential security and compliance risk.

SaaS companies need a way to open up to agentic access, responsibly.

What Frontegg AgentLink delivers

Frontegg AgentLink gives you a way to expose your product to AI interfaces with the controls your customers need to trust this new way of accomplishing tasks (i.e., issuing commands to an AI platform instead of logging into your app and clicking around).

How AgentLink Works:

1. Spin up a hosted MCP server —with just a few lines of code.
2. Decide which of your APIs agents can use.
3. Auto-generate AI-ready tools from your APIs.
4. Extend your existing identity and governance framework to agentic entry points.
5. Instantly gain observability into agent behavior inside your app.

These agents follow your existing access policies, so your identity system stays intact. Agent Connector gets you the hosted MCP server you need without rewiring your stack or migrating identity providers.

On top of that, Agent IAM lets you apply fine-grained access rules to agent traffic. You can create approval flows, mask sensitive fields, and enforce authorization policies that are tailored to AI agents.

You also get visibility. With Agent Analytics, you can monitor how agents are behaving inside your product. If an agent goes rogue or oversteps, you’ll know immediately — and you’ll have the data to prove it.

Why you shouldn’t build this yourself

Some teams might valiantly try to build lightweight agent connections using developer tools like Cursor. The reality is that this usually results in short-term experiments that can’t hold up under real security review. Most don’t offer enough visibility or control to satisfy CISOs. And they often create technical debt that’s hard to fix later.

According to MIT Sloan, companies that partner with specialized AI vendors succeed far more often at transitioning to AI than those that build from scratch.

As Nir Rothenberg, CISO at Rapyd who championed AgentLink to his company, put it: “With a quick copy/paste of our APIs, we could safely open up our apps to agents and the LLM platforms, moving faster and more securely than ever.”

This is your moment

The agentic era won’t wait. If you delay, your SaaS app loses relevance. If you move too fast, you risk breaking the trust that got you this far. Frontegg AgentLink gives you a path forward to embrace AI while maintaining the integrity of your product.

• Read Part 1: Agent Connector
• Read Part 2: Agent IAM
• Read Part 3: Agent Analytics