MCP Gateway - Control & Governance for AI Tools
A management and policy layer that gives organizations full control over what AI agents do - approvals, permissions, full audit trail, and sensitive data protection, all in real-time.
Enterprise AI governance
Dashboard
Project Overview
CLIENT
Enterprise AI Infrastructure
TIMELINE
10 weeks
ROLE
Full-Stack Architect
As organizations deploy AI agents at scale, they quickly discover they have no control over what those agents access or do. I built MCP Gateway - a governance platform that sits between your AI agents and the tools they use, enforcing who can do what, routing sensitive actions through approval workflows, and logging everything for compliance and audit.
The Challenge
Zero Governance
No product on the market governs what AI agents access and do - organizations had zero visibility and zero control over agent behavior in production.
Multi-Tenant Isolation
Every customer organization needs completely separate policies, connections, and audit trails - with four permission levels so the right people have the right access.
Compliance & PII
Enterprise compliance requires a full trail of every AI action, plus automatic detection and redaction of sensitive data like emails, credit card numbers, and personal IDs from agent outputs.
Sub-Millisecond Budget
Governance checks cannot slow down AI operations - policy decisions and approval routing must happen in near-zero time without blocking business workflows.
The Solution
A complete governance platform with a management dashboard and policy engine that defaults to "deny unless explicitly allowed" - ensuring AI agents only do what your organization has approved.
POLICY_ENGINE
Flexible Policy Rules
Define exactly which AI tools each team can use, set usage limits, restrict by environment, and test rules in a simulator before they go live - no surprises in production.
AUDIT_TRAIL
Complete Audit Trail
Every login, tool use, policy change, and approval decision is recorded with full context - searchable by date, person, or action type for compliance reviews and investigations.
APPROVAL_FLOWS
Multi-Level Approval Workflows
Sensitive AI actions pause and wait for the right people to approve them - with configurable thresholds, automatic expiry after 24 hours, and no duplicate voting.
PII_REDACTION
Automatic Sensitive Data Protection
Detects and redacts emails, phone numbers, credit cards, national IDs, and IP addresses from AI outputs automatically - with custom profiles and full redaction logging.
CONNECTIONS
Tool Connection Management
Register and manage all AI tool connections from one place - credentials stored with bank-grade encryption, automatic discovery of available tools, and per-connection access control.
RBAC
Four-Level Permission System
Owner, Admin, Operator, and Viewer roles with inherited permissions - every team member sees and does only what their role allows, across the entire platform.
Technology Stack
Backend
Frontend
Security
Infrastructure
Results
REST API endpoints
Database entities
Audited action types
Policy eval latency
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