Platform

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.

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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
Use Cases

Put agentic AI into production.

From pilot programs to organization-wide rollout, Natoma enables secure, scalable adoption of tool-enabled AI.

01

Standardize tool-enabled AI across your organization.

Deploy governed MCP access and skills to ChatGPT, Claude, Cursor, and internal agents. Eliminate manual setup, reduce configuration drift, and move from pilot to production quickly.

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02

Adoption without chaos.

Detect unsanctioned AI, MCPs, and tool calls across your environments. Bring them under centralized policy—or block them—without disrupting productivity.

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03

Enable autonomy without losing control.

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Enforce granular, attribute-based access and data controls for users and agents with identity-aware policies, credential governance, and full auditability. Support real agent workflows without creating unmanaged risk.

04

Ship the right context to the right teams.

Democratize skills, tools, and rules based on intent, role, and function.

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05

Cover every aspect of your enterprise.

Auto-build MCP servers with curated tools from your OpenAPI spec in seconds. Cloud, VPC, on-prem, proxy, or desktop — we handle the heavy lifting. Connect to homegrown apps, APIs, and databases alike.

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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.
S&P Global
Enterprise Architect
Enterprise-Ready

Designed for enterprise deployment.

Activity logs
Works with SIEM, IAM, EDR, and MDM
Run in VPCs, leverage your MCP artifactory
Supports desktop MCP servers
Audit export
Support for on-prem environments
Granular authorization via Cedar
Built for large-scale deployments
1000s
of MCP servers
225+
Shadow AIs detected per org
1.8m
Tool calls per day

Ready to deploy agentic AI across your enterprise?

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SOC2 certified
GDPR compliant
CCPA
US Data Privacy

Learn more about Natoma and the MCP ecosystem

Natoma Blog

Get the latest news and insights on agentic AI.

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Glossary

Demystify terms around agentic AI and MCP.

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Library

Learn how to deploy and build agentic AI in your enterprise.

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Frequently-Asked Questions

What is an AI agent platform?
An AI agent platform is infrastructure that enables AI models to autonomously take actions — querying databases, calling APIs, updating records, and orchestrating multi-step workflows — by connecting them to real enterprise tools and data. Natoma serves as that platform, providing a governed MCP gateway so AI agents can operate securely across your organization.
How does Natoma compare to Zapier MCP?
Zapier MCP provides a simple way to expose Zapier automations to AI clients. Natoma is an enterprise-grade platform purpose-built for security, governance, and scale — with attribute-based access controls, identity-aware policies, SIEM integration, Shadow AI detection, audit trails, and support for custom and self-hosted MCP servers. Natoma is designed for organizations where security and compliance are non-negotiable.
What is MCP discovery and why does it matter?
MCP discovery is Natoma's capability to find and inventory all Model Context Protocol connections active across your organization — including unsanctioned or 'Shadow AI' deployments employees have set up independently. On average, Natoma detects 225 unmanaged Shadow AI instances per enterprise, which represent both security risk and governance gaps. Discovery lets you bring those connections under centralized policy.
What is the difference between hosted and desktop MCP servers?
Hosted MCP servers run in the cloud (or your VPC) and are accessible over HTTPS, making them ideal for shared tools and team-wide deployments. Desktop MCP servers run locally on a user's machine via stdio, enabling access to local files, development environments, and tools that can't be exposed to the internet. Natoma supports both, managing configuration and access controls for each deployment type.
How does Natoma integrate with SIEM platforms?
Natoma emits structured audit logs for every tool call — including user identity, AI client, tool name, inputs, outputs, and outcome. These logs can be forwarded to SIEM platforms like Splunk, Microsoft Sentinel, CrowdStrike Falcon, and others via standard log export. This gives security operations teams the same visibility into AI activity as any other enterprise system.
Can Natoma enforce data loss prevention (DLP) policies?
Yes. Natoma includes data filter controls that can inspect and block tool call inputs and outputs based on content patterns. Combined with attribute-based access policies, this enables DLP-style enforcement at the AI tool layer — preventing sensitive data from being exfiltrated through AI-driven tool calls.
How does Natoma provide visibility into AI tool usage?
Natoma maintains a complete, tamper-evident audit trail of every tool call made through the platform — who made it, which AI client they used, what tool was invoked, and what data was accessed or modified. The activity dashboard surfaces usage trends, anomalies, and policy violations. Logs can be exported or streamed to external security and analytics tools.
Can Natoma deploy MCP servers on-premises?
Yes. Natoma supports on-premises and VPC deployments for organizations with strict data residency or network isolation requirements. You can run Natoma's MCP gateway infrastructure within your own environment, retaining full control over where data flows. Cloud, on-prem, and hybrid configurations are all supported.