Point-to-point sprawl
Every new tool means another bespoke connection to build and maintain. Multiply that across agents and teams and it never stops growing.
Connect your AI agents to every tool, without the sprawl
One gateway puts every agent-to-tool connection behind a single control plane you can secure, audit, and govern.
Central authenticationFull audit trail
Free MCP gateway assessment
Tell us about your stack. We'll map your current MCP and agent integrations, flag the biggest access and governance gaps, and show you what a gateway changes - no cost, no commitment.
Identity and access infrastructure trusted by
Integration sprawl is the hidden cost of agentic AI
No central authentication
Each MCP server handles access its own way. There's no single place to enforce who - or which agent - can reach what.
No audit or visibility
When an agent calls a tool through MCP, there's no central log of what was accessed, by whom, or why.
Ungoverned access to internal systems
Without a gateway, every MCP connection is a direct, unmonitored door into production data and tools.
How an MCP gateway tames the sprawl
One control plane between your agents and every tool they need to reach.
01
Connect once
Route every agent through a single gateway instead of wiring point-to-point integrations to each MCP server.
02
Authenticate & authorize
Apply consistent identity and access policy to every agent-to-tool call from one place.
03
Observe & audit
Get a complete, central log of which agent reached which tool, when, and what it did.
04
Enforce policy
Set guardrails on what agents can access and block risky calls before they reach production systems.
One gateway for every agent-to-tool connection
- Standardize every MCP connection behind a single, managed endpoint
- Apply identity and access control to every agent-to-tool call
- Audit every tool invocation with a complete, central activity log
- Add or swap tools without rebuilding integrations for each agent
- Enforce governance policies before agents reach production systems
/Use Cases
| Rapyd
“Before Agen.co by Frontegg, we felt forced to make impossible compromises between moving fast or protecting our product's trust and quality. Agen gave us a clear way to enable AI workflows for employees without losing control.”
Nir Rothenberg | CISO & CIO, Rapyd
The challenges
No clear way for IT to safely enable AI workflows across internal and third-party apps
Employees building AI copilots and automations without a standardized access model
Growing security, data exposure, and compliance risk as agent usage scaled
Agen for Work as a solution
A single, governed access layer for AI-driven employee workflows
Standardized connectivity to first-party and third-party internal systems
Built-in security, data controls, and auditability by default
| Cisco
“My team had a simple goal: make our data accessible securely via MCP to as many use cases as possible, and the Frontegg team has made it possible”
Didi Dotan | VP of Engineering, Cisco
The challenges
Security APIs were not designed for agent consumption
Risk of over-privileged AI access to sensitive IDTR data
Missing centralized policy and audit layer for AI access
Agen for Work as a solution
Secure AI access to high-value security telemetry
Governed MCP exposure across internal and external use cases
Enterprise-grade controls across cloud and on-prem environments
What you gain with an MCP gateway
One control plane
Manage every agent integration from a single place instead of scattered point-to-point connections.
Secure tool access
Every agent-to-tool call is authenticated, authorized, and logged by default.
Ship integrations faster
Connect new tools in minutes, safely, without bespoke wiring per agent.
Free MCP gateway assessment
See every tool your AI agents can reach
Book your free MCP gateway readiness assessment. We'll map your current integrations, surface the biggest access and governance gaps, and show you how a gateway brings every agent-to-tool connection under control.