Agent Sense | Agentic Workflows & Operational AI

MCP Gateway: The Control Layer for Enterprise Agents


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Episode 6 of Agent Sense continues from Episode 5, where we talked about MCP, A2A, and enterprise integration.

In this episode, Monika Aggarwal and Frank Chávez discuss why enterprise agents need governed access to core systems before they can scale in production.

MCP helps agents connect to tools and systems. But connection alone is not enough. As agents start working across ServiceNow, Workday, SAP, HR, IT, finance, and customer operations, enterprises need a control layer.

That is where the MCP Gateway comes in.

We discuss how an MCP Gateway helps manage identity, policy, approvals, audit, and traceability. It gives agents access to approved tools without opening direct, unmanaged paths into core enterprise systems.

In about 4 minutes, we cover:

🔹 Why direct agent access to core systems creates risk
🔹 How MCP Gateway supports controlled enterprise access
🔹 Why public MCP servers are useful for testing, but not enough for production
🔹 How approved tools help agents scale across business workflows
🔹 Why traceability matters when agents take action

Episode 5 was about connection.
Episode 6 is about controlled access.

Disclaimer: The views shared are based on our personal experience and do not represent the views of IBM.

Tags for Spotify search:

Agentic AI, Enterprise AI, MCP, MCP Gateway, AI agents, ServiceNow, Workday, SAP, AI governance, agent governance, operational AI, enterprise architecture, AI integration, agentic workflows.

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Agent Sense | Agentic Workflows & Operational AIBy Monika Aggarwal, Operational AI, IBM and Frank Chavez, Technical Architect, IBM