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an hour ago
What this video series covers
AI Gateway is the control plane inside AI Control Tower that governs every Model Context Protocol (MCP) connection between your AI agents and the tools they use. These four videos walk enterprise architects, AI Stewards, and developers through AI Gateway from first setup to full production observability.
Watch the complete walkthrough end to end, or jump to the video that covers the part of the implementation you're working on right now.
In this article:
AI Gateway: Complete Walkthrough Setup, Intake, and Lifecycle Approval Client Registration and Agent Configuration Security Controls, Tool Governance, and ObservabilityđŹ AI Gateway: Complete Walkthrough
This video combines all three topic videos below into a single walkthrough. It covers what AI Gateway does, how to set it up, how to bring MCP Servers into a governed inventory, how lifecycle approval works, how to register clients and configure agents, and how to apply security controls, tool governance, and observability once agents are live.
Chapters:
- What AI Gateway Does
- Setup and Prerequisites
- MCP Server Intake
- Lifecycle Approval
- Client Registration
- Agent Configuration
- Security Controls
- Tool Governance
- Observability
âď¸ Setup, Intake, and Lifecycle Approval
This video covers what AI Gateway does, the prerequisites before you register your first MCP Server, the four ways a server can enter your governed inventory, and the two lifecycle milestones that take a server from unmanaged to available for agents.
Chapters:
- Setup and Prerequisites
- Intake
- Auto-discovery in AI Agent Studio
- Auto-discovery via MCP Server Console
- MCP Catalog
- Manual Entry
- Lifecycle Approval
đ Client Registration and Agent Configuration
Once an MCP Server is approved, this video covers generating the credentials your agents use to authenticate, and connecting agent platforms so every request routes through AI Gateway.
Chapters:
- Client Registration
- Agent Configuration
- AI Agent Studio
- Claude
đĄď¸ Security Controls, Tool Governance, and Observability
This video covers the controls that keep agent tool access accountable once servers are live: pausing connections instantly, blocking transactions containing sensitive data, governing individual tools on an MCP Server, and monitoring request volume, success rate, and latency.
Chapters:
- Security Controls
- Tool Governance
- Observability
đ Related Resources
|
Implementation Guide AI Gateway Implementation Guide Step-by-step configuration for every setup workflow: intake, approvals, client registration, security controls, and observability. |
FAQ Answers to common questions about AI Gateway setup, governance, and MCP server management. |
