Give your agents tools. Without giving them everything.
MCP makes it trivial to connect AI to any system. That's the problem. Without a governance layer, your agent can read any file, write to any database, post to any Slack channel. QuilrAI's MCP Gateway adds scope, auth, and audit to every tool call, automatically.
Each MCP server is a new attack surface
The MCP ecosystem is growing fast. So is the exposure. Here's what you're inheriting with every server you connect.
Unlimited tool scope by default
MCP servers expose every capability they have. Your agent gets it all, filesystem read/write, all repos, all Slack channels, unless you explicitly restrict it. Nobody does.
No auth between agents and tools
MCP doesn't mandate authentication between an agent and an MCP server. Anything running locally can call anything locally. In production, that's a vulnerability.
No audit trail
When your agent calls a tool, there's no record of what was requested, what was returned, or whether it should have been allowed. You're flying blind.
How QuilrAI's MCP Gateway governs every call
Drop the gateway in front of your MCP servers. Your agents keep working, just within the boundaries you set.
Scoped tool access
Your agent gets a Guardian-configured subset of each MCP server's tools. The GitHub MCP can only access the repos you approved. The filesystem MCP stays in your project directory.
Auth at every hop
Every agent-to-MCP call goes through the QuilrAI gateway with identity verification. Tools know who's calling and can refuse requests outside policy.
Full MCP audit log
Every tool invocation logged: agent identity, tool name, parameters (post-redaction), response. Searchable, exportable, retention-configurable.
What Guardian setup looks like for your MCP stack
During the CLARIFY phase, the Guardian agent auto-generates permission decisions from your MCP config. You approve or restrict, Guardian enforces it at runtime.
- Approved
Allow MCP server delegation?
Tools: filesystem, database, github
- Approved
Allow cross-agent MCP calls?
Agents: researcher → writer
- Denied
Allow production DB writes?
Scoped to: staging only
MCP tools we support
QuilrAI's gateway works with every major MCP server in the ecosystem, out of the box.
Dynamic Tool Calling, 2× usage with fewer calls
QuilrAI's MCP Gateway supports Dynamic Tool Calling, your agent describes what it needs and the gateway selects the right tool automatically. Fewer round trips, better results, full governance.
MCP security, answered
What security risks do MCP servers introduce?
MCP (Model Context Protocol) servers introduce risks including over-privileged tool access, lack of built-in authentication, prompt injection via tool outputs, and supply chain attacks through community packages. QuilrAI's MCP Gateway scans servers at install and enforces least-privilege tool permissions at runtime.
How does QuilrAI scan community MCP packages?
QuilrAI's MCP Security scanner analyzes community MCP server packages at install time, checking declared permissions, scanning for embedded exfiltration patterns, and flagging tools that request more access than their stated purpose requires. Packages are re-scanned when updated.
Can QuilrAI control self-hosted MCP servers?
Yes. QuilrAI finds self-hosted MCP servers through its Endpoint Agent and MCP Gateway, maps every tool each server exposes, applies Guardian Agent permission policies at the tool call level, and logs all MCP interactions.
Ready to govern your MCP stack?
One gateway. Every MCP server. Scope, auth, and audit, without changing how your agents work.