Documentation

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.)

SigOS is the operating system for enterprise AI agents. It provides a unified platform for AI agents to securely access and interact with your business systems through modular gateways.

SigOS provides:

• • Unified control plane for all AI agent interactions
• • Modular gateways (MCPX for MCP, OpenAI Functions, etc.)
• • Enterprise authentication (SSO, SAML, OAuth)
• • Advanced security controls and compliance
• • High availability and scalability
• • Pre-built connectors for enterprise systems

MCPX is the MCP gateway module within SigOS. It provides enterprise-grade support for the Model Context Protocol, enabling Claude, Cursor, and other MCP-compatible tools to securely access your business systems.

MCPX is the first of many protocol gateways in SigOS, with support for OpenAI Functions, Anthropic Tools, and custom protocols coming soon.

Prerequisites

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

Quick Deploy

For early access and deployment assistance, request access.

SigOS sits between your AI agents and your internal systems, providing a unified operating system with secure, auditable gateways for all AI interactions.

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

Full API documentation coming soon. SigOS provides APIs for managing AI agents, configuring gateways, and extending the platform with custom modules.

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

SigOS is designed for enterprise compliance requirements:

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