The enterprise enablement platform
for Agentic AI.
Natoma standardizes how AI clients and agents connect to enterprise tools.
So now your AI can be used for more than just summarizing docs and writing emails.
Streamline tool access across your enterprise.
Natoma provides a verified MCP server library and supports custom MCP deployments across cloud, desktop, and self-hosted environments. Connect AI clients and agents to enterprise systems without fragmented configuration or ad hoc integrations.
Verified MCP server library
Custom MCP servers (cloud and self-hosted)
Support for local stdio servers using desktop
Centralized configuration endpoint
Roll out governed access in minutes.
Standardize tools and skills with Profiles — predefined toolkits tailored to roles, intent, or functions. Distribute access across AI clients and agents through a single URL, eliminating manual setup and configuration drift.
Intent and role-based Profiles (toolkits)
One managed endpoint for all enabled connections
Organization-wide rollout
Easy expansion from pilot to business unit to enterprise
Enforce policy across apps, connections, and tools.
Natoma centralizes authorization for AI tool usage. Define who can access which tools — and under what conditions — using granular, attribute-based policies.
Managed credentials or BYO credentials
Identity-aware access controls
Attribute-based authorization
Context-aware enforcement (user, group, device, and AI client)
Data filters
Operate agentic AI with enterprise visibility.
Natoma provides a complete audit trail of tool access and activity. Detect Shadow AI usage, bring it under governance, and integrate with security tooling such as SIEM, EDR, and MDM systems.
SIEM and security stack integration
Visibility into AI activity in the endpoints
Shadow AI discovery and control
Centralized activity logs and audit trail
“It has enabled our AI platform to make it effortless for all business users to query and prompt across fragmented systems in our hybrid environments - without compromising access controls, data controls, or privilege management.”
Enterprise Architect
Enterprise-ready by design.
Learn more about Natoma and the MCP ecosystem
Frequently-Asked Questions
What is an AI agent platform?
How does Natoma compare to Zapier MCP?
What is MCP discovery and why does it matter?
What is the difference between hosted and desktop MCP servers?
How does Natoma integrate with SIEM platforms?
Can Natoma enforce data loss prevention (DLP) policies?
How does Natoma provide visibility into AI tool usage?
Can Natoma deploy MCP servers on-premises?
