Documentation

Everything you need to integrate mcpx into your enterprise AI infrastructure

Getting Started

Deploy mcpx in your environment in under 5 minutes

Architecture

Understand how mcpx secures your AI infrastructure

API Reference

Complete API documentation and SDK guides

Security

Security architecture and compliance documentation

What is MCP?

The Model Context Protocol (MCP) is an open protocol that standardizes how AI assistants interact with external data sources. Developed by Anthropic, MCP provides a universal way for AI models to securely access and interact with your business data.

MCP enables:

• Standardized connections between AI models and data sources
• Fine-grained access control and permissions
• Audit logging for all AI interactions
• Support for multiple AI providers (Claude, ChatGPT, etc.)

What is mcpx?

mcpx is the enterprise infrastructure layer for MCP. While MCP provides the protocol, mcpx provides the production-ready infrastructure to deploy it securely at scale.

mcpx adds:

• Enterprise authentication (SSO, SAML, OAuth)
• Centralized deployment and management
• Advanced security controls and compliance
• High availability and scalability
• Pre-built connectors for enterprise systems

Getting Started

Prerequisites

• Docker or Kubernetes environment
• Access to your identity provider (Okta, Auth0, Azure AD, etc.)
• Network access to your data sources

Quick Deploy

# Coming soon - Docker Compose and Helm charts

For early access and deployment assistance, request access.

Architecture Overview

mcpx sits between your AI tools and your internal systems, providing a secure, auditable gateway for all AI interactions with your business data.

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Components

Gateway - Routes requests between AI models and data sources
Auth Service - Handles authentication and authorization
Audit Logger - Records all interactions for compliance
Connector Framework - Pluggable adapters for data sources

API Reference

Full API documentation coming soon. mcpx implements the standard MCP protocol with enterprise extensions.

API documentation will be available with early access

Security & Compliance

Security Features

• End-to-end encryption for all data in transit
• Zero-trust architecture with per-request authentication
• Fine-grained access controls aligned with existing permissions
• Complete audit trail for all AI interactions
• Data loss prevention (DLP) integration

Compliance

mcpx is designed for enterprise compliance requirements:

• SOC 2 Type II (in progress)
• GDPR compliant architecture
• HIPAA-ready deployment options
• Support for data residency requirements

Ready to secure your AI infrastructure?

Get early access to mcpx and be among the first to deploy secure enterprise AI

Request Early Access