Accelerate enterprise adoption
of agentic AI
Drive AI innovation across your organization while maintaining centralized oversight, granular control, & robust security
Full visibility & control
Track every tool call with audit logs and anomaly detection, fully integrated with your SIEM
Secure data handling
Block sensitive data, rate-limit calls, set budget and cap usage by user, team, or app. Prevent over-consumption. Automatic retries and backoffs when needed
Flexible deployment
Easily deploy and manage MCP servers across cloud, on-premises infrastructure, local desktops, or connect via proxy to third-party MCPs
Access control & policies
Maintain control over what end users can see and do based on their roles and responsibilities. Centrally enable or disable tools from one place
Accelerate growth, foster innovation, and enable collaboration
across the entire organization
MCP Gateway Architecture
How Our Model Context Protocol Platform Works
Natoma's MCP Hub serves as the orchestration layer between AI agents and enterprise systems:
1
AI Agent Request
LLMs and AI platforms send requests via standard MCP protocol
2
Gateway Processing
Our MCP Gateway authenticates, authorizes, and routes requests
3
MCP Server Execution
Target Model Context Protocol server processes the request
4
Response Handling
Results returned to AI agent with context preservation
Core MCP Platform Components
Natoma's MCP Hub serves as the orchestration layer between AI agents and enterprise systems:
