Introduction to the MCP Gateway
The MCP Gateway sits between your AI apps and the MCP servers they call. Users connect their AI app to a Quilr gateway URL instead of the server itself, and every tool call is checked against your tool rules and guardrails, then logged with the user, the agent and the result.
Key concepts
New servers start with their tools turned off, so nothing is reachable until you enable it.
The MCP Gateway page
Go to Settings > AI Gateway > MCP Gateway.
Click a row on a tile to filter the server list or open the matching view.
Below the banners, Elsewhere links to Inventory & analytics, the User dashboard and this Documentation. The server list has All, Local, Remote and API tabs, Search servers and a Filter for state, auth, source and runtime.
The server card
Each configured server has a card.
A server waiting for an administrator OAuth sign-in shows Connect OAuth on its card.
The workspace
Overall analytics and every Inspect and Configure button open the MCP Gateway workspace. Select one or more servers with the server picker, and change the period at the top.
Settings sections
Sections vary by server. Edits are drafts until you click Save settings.
When the Policy Engine is on, Settings shows Policy Engine active and marks Tools, Guardrails, Token saving and Group & User Rules with its icon. Those sections follow published policies instead of these settings. General and API tokens are still managed here.
Next steps
- Quick Start: add a server and make a first tool call.
- Adding MCP Servers: remote servers, sign-in modes and the MCP Library.
- API to MCP: turn a REST API into tools.
- OneMCP: one URL for every MCP a user may use.
- Integration Guide: URLs, tokens and client examples.