MONOSIGN · MCP Gateway

Connect agents to tools.Check every call.

WHAT IT IS. WHAT IT DOES.

MCP Gateway sits between AI agents and tool servers. It checks identity and permission for each call.

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For teams building and securing AI integrations

EXAMPLE SCENARIO · THE GOAL

Let the agent read production metrics through an authorized tool.

Operations agent → MCP Gateway → Tool server
The agent names the tool it needs.

This request reads system metrics. The agent reaches the MCP server through the gateway.

Monofor/ AI SecurityDemo environment
Requested actionmetrics.readProduction
REQUESTING AGENTrunbook-agentOwner: Platform team
CONTROL POINTMonoforIdentity & policy
TARGET TOOLMCP serverAwaiting decision
Agent identity···
Tool permission···
Human approval···
tool.call.pendingEvaluating policy
Interactive example · No real actions
THE INTENDED OUTCOME

Allowed calls reach the tool. Unauthorized requests stop at the gateway.

Approved tool catalogPer-call authorizationVaulted credentials

CONNECTED CONTROLS

The point of action.
The place for control.

Apply the same identity policy to the tools reached by your assistants, development tools, and custom agents.

01

A catalog you approve

Make approved MCP servers and enabled tools discoverable to authorized callers.

  • Registered MCP server catalog
  • Per-tool enable and disable controls
  • Permission-filtered tool discovery
02

Authorize every call

Evaluate the identity and context before an action reaches the upstream service.

  • OAuth / OIDC identity verification
  • Agent and user permission intersection
  • IP, time, usage budgets, and rate limits
03

A person at the decision point

Hold sensitive calls for the responsible owner.

  • Human approval for destructive tools
  • Deny on rejection, expiry, or timeout
  • Enforce suspended-agent access at the gateway
04

Protected credentials, visible activity

Keep upstream secrets out of the client and calls in the audit trail.

  • Just-in-time credential injection
  • Content inspection for secrets and sensitive data
  • Per-server logs with identity, tool, and verdict

HOW IT WORKS

Connect the tools. Govern the calls.

Connect to your identity infrastructure. Define your access policy. Keep each step visible.

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THE WORKFLOW, END TO END

Add approved MCP servers to the gateway catalog.

Enable tools, scope callers, and flag actions that require approval.

Authenticate and authorize calls through the gateway, then record the decision.

THE OUTCOME YOU ARE WORKING TOWARD

Allowed calls reach the tool. Unauthorized requests stop at the gateway.

CONNECTED BY DESIGN

Explore the other AI controls.

AI Security overview
01

AI agent identity

Bring AI agents and service accounts into your identity platform. Assign an owner, govern credentials, and control access throughout their lifecycle.

Explore capability
02

Agent approvals

Let routine work flow. Hold sensitive actions for a responsible person, with clear context, explicit delegation, and a recorded decision.

Explore capability
03

Agent trust & response

Bring agent posture, behavior, and tool activity into one view. Follow trust scores, investigate identity threats, and suspend access when needed.

Explore capability
04

Identity copilot

Explore access with an assistant grounded in identity data. Help admins understand entitlements and review decisions, within the permissions they already have.

Explore capability
Free download

Your AI security rollout starts here.

A four-phase guide to inventory, credentials, tool controls, and response. Includes 27 practical checklist actions.

MONOFOR · AI SECURITY

Make room for AI. Keep control.

Build the right identity and access approach for your agents.

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