Agent Gateway FAQs

Question 1

How do AI agents interact with Agent Gateway?

Accepted Answer

Agents interact with the gateway using three lightweight tools: `list_servers`, `get_server_tools`, and `execute_tool`. For proper access control and audit logging, agents are configured to identify themselves via an `agent_id` in their tool calls.

Question 2

Can I update configurations without restarting the gateway?

Accepted Answer

Yes, Agent Gateway supports hot configuration reload. You can update server definitions, access policies, and other settings on the fly without needing to restart the gateway, ensuring continuous operation for your agents.

Question 3

What kind of access control does Agent Gateway provide?

Accepted Answer

Agent Gateway offers granular per-agent access control using deny-before-allow policies. You can define specific rules for each agent, granting or restricting access to individual MCP servers and their tools, including wildcard support for flexible management.

Question 4

What is Agent Gateway and what problem does it solve?

Accepted Answer

Agent Gateway is a Model Context Protocol (MCP) gateway that aggregates multiple MCP servers. It solves the problem of AI agent context window bloat by enabling on-demand tool discovery, meaning agents only load tool definitions when needed, drastically reducing token consumption from unused tools.

Question 5

How does Agent Gateway improve AI agent efficiency?

Accepted Answer

It significantly reduces context window waste by replacing the upfront loading of all tool definitions with a dynamic, on-demand discovery mechanism. This can lead to over 90% context reduction, freeing up valuable token space for actual work.

Agent Gateway

Agent Gateway

Key Features

Use Cases

Key Features

Use Cases