Frontegg AgentLink Part 1: Agent Connector

AI is changing how people interact with software. Instead of logging into apps, users are starting to ask AI platforms like ChatGPT or Claude to take action on their behalf — from pulling reports to triggering workflows.

To help SaaS companies support this shift safely, we built Frontegg AgentLink. It’s an enterprise-grade, low-code layer that makes your product accessible to AI agents, while keeping your access controls, security policies, and user trust intact.

AgentLink has three pillars:

• Agent Connector, which creates a hosted MCP server in minutes
• Agent IAM, which enforces fine-grained access controls and guardrails for agents
• Agent Analytics, which shows who’s using agents, what they’re doing, and where opportunities lie

Here, we’ll focus on Agent Connector. We’ll cover IAM and Analytics in upcoming blog posts, so stay tuned!

Make your APIs agent-ready

Agent Connector is the first essential pillar of Frontegg AgentLink. With Agent Connector, you can open your SaaS product to AI agents without rewriting a single API.

Agent Connector takes your existing REST and GraphQL APIs and turns them into something AI agents can understand. It wraps them in a hosted MCP server, using your API definitions as the blueprint.

You upload your OpenAPI or GraphQL schema. We generate tools like create_invoice, search_products, or place_order, depending on what your backend already exposes.

Then, when agents connect, they don’t skip the line. They authenticate using OAuth through your existing identity provider. Your access controls stay intact. Your security team stays calm.

How Agent Connector works

Here’s what it looks like when you create a hosted MCP server with AgentLink’s Agent Connector.

1. You upload your API specs.
2. We auto-generate agent tools and a compliant MCP interface.
3. When an AI agent like ChatGPT connects, it gets prompted to authenticate.
4. Your customer logs in using your existing OAuth flow.
5. The agent can now call your APIs in a controlled way, just like a real user.

Behind the scenes, the same security rules still apply. The agent is just another user following your access model. But for your customers, it’s a breakthrough — allowing them to accomplish tasks in your SaaS product without leaving their favorite AI platform.

No workarounds. No vendor lock-in.

Agent Connector doesn’t force you to change how you authenticate users. It doesn’t make you switch identity providers. It doesn’t replace your backend logic. You keep your architecture. We handle the translation and the runtime.

We’ve onboarded SaaS teams that go from schema upload to AI agent access in minutes. And because the hosted MCP server handles orchestration, uptime, and retries, you don’t need to build your own interface logic from scratch.

One of our customers, a B2B procurement platform, used Agent Connector to make their order system accessible to AI agents. Their customers had been asking when their agents could place orders directly and safely. The answer turned out to be: right now. The existing APIs stayed untouched, and AI agents could place orders on behalf of human users.

AI access without guesswork

Supporting AI agents shouldn’t require a leap of faith. It should feel like adding another integration channel, one with the same rules and accountability that governs the rest of your product.

If your product has usable APIs, you’re already most of the way there. Now, it’s time to connect your SaaS app to generative AI, with all the opportunity and none of the risk.

• Learn more about Agent Connector
• Explore the full Frontegg AgentLink platform
• Watch the Agent Connector on-demand livestream