Let your AI know everything your company knows.

Connect any AI to every enterprise application. Your AI gets enterprise context. Your security team gets full governance. Your business gets real ROI.

Works with Claude Code, VSCode, ChatGPT, custom AI, and more. Lives wherever you use AI.

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Trusted by organizations like

Natoma sits between your AI and your enterprise systems — connecting any AI client or agent to every application, database, and tool through one secure, governed platform.

Connect AI clients and agents to enterprise tools without fragmentation.

Deploy from a verified MCP server library, or bring your own — cloud, desktop, or self-hosted. Centralized configuration. No scattered local setups.

From pilot to enterprise rollout in minutes.

Standardize toolkits and skills with Profiles — predefined tool access aligned to roles, departments, or functions. Deploy once. Scale across your organization.

Enforce policy at the tool layer.

Control access with identity-aware policies, attribute-based authorization, data filters, and granular permissions. Define who can access which tools — and under what conditions.

Enterprise-grade oversight.

Audit every tool call. Detect and bring Shadow AI and unmanaged MCP servers under governance. Integrate with CrowdStrike, EDR, MDM, and SIEM systems for complete operational visibility.

Use Cases

Natoma provides everything your organization needs to effectively and safely deploy agentic AI:

Enterprise MCP deployment

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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Shadow AI discovery & governance

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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Role-based toolkits with Profiles

Ship the right context to the right teams.

Create standardized toolkits that define approved tool access based on intent, role, and function. Finance, Security, Engineering, Operations — each group gets only the tools relevant to their work.

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Secure tool access for AI agents

Enable autonomy without losing control.

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.

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Enterprise-grade authorization for AI tools

Cover every aspect of your enterprise.

Define policy once using Cedar. Enforce it everywhere. Maintain continuous control as AI adoption scales.

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Why Natoma?

Why Natoma?

Models are already powerful enough.

Today's models will figure out what to do with your data if you give them access. It's no longer about workflows — it's about telling an AI the job to be done. Natoma connects your existing AI to everything. Save 7+ figures by not buying bespoke AI from every SaaS vendor.

Enterprise rollout in minutes.

Built for organization-wide deployment, not proof-of-concept demos. Natoma standardizes how AI connects to tools so enterprises can scale adoption confidently.

Make everyone an AI champion.

Enable everyone in your organization to use AI as well as your most effective employees.

Security and governance built in.

Your data, your apps, your AI — in your perimeter and under your control. Natoma integrates with your existing security stack — CrowdStrike, EDR, MDM, SIEM — so you operate AI with the same rigor you apply to every other enterprise system.

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 agentic AI 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 Natoma?
Natoma is a fully managed platform that enables AI agents to securely connect to enterprise data and tools. The platform provides one-click deployment of Model-Context Protocol (MCP) servers, centralized access controls, and built-in security features including OAuth 2.1, SSO, and SCIM integration for organizations adopting agentic AI workflows.
What makes Natoma different from building custom AI integrations?
Natoma eliminates months of engineering work by providing 100+ verified MCP servers, automatic authentication management, built-in rate limiting, observability tools, and enterprise-grade security controls out of the box. Teams can focus on AI use cases instead of building and maintaining gateway infrastructure, reducing time-to-value from months to minutes.
Is agentic AI the same thing as MCP?
No. Agentic AI refers to AI systems that can autonomously plan, reason, and take actions across tools and workflows to accomplish goals. MCP (Model Context Protocol) is a technical standard that enables those agents to securely connect to external systems and tools. In short, agentic AI is the behavior and capability of the AI, while MCP is the infrastructure layer that makes real-world tool access and action possible. Natoma uses MCP as part of its agentic AI solution for enterprises.
What is MCP vs RAG?
MCP (Model Context Protocol) provides real-time, structured access to live enterprise systems through standardized tool connections, while RAG (Retrieval-Augmented Generation) retrieves static information from document databases to enhance AI responses. MCP enables AI agents to take actions like updating records or querying APIs, whereas RAG focuses on finding and presenting existing knowledge without system interaction capabilities.
What AI clients support MCP?
Major AI clients supporting MCP include Claude Desktop, Claude Code, ChatGPT, Cursor, Zed, Windsurf, Continue, and custom applications built with the MCP SDK. Natoma provides one-click configuration that works across all MCP-compatible clients, eliminating the need to manually configure each tool and ensuring consistent access policies regardless of which AI interface users prefer.
Is MCP from OpenAI or Anthropic?
MCP (Model Context Protocol) was introduced by Anthropic in November 2024 as an open-source standard for connecting AI assistants to enterprise systems and data sources. While OpenAI has since added MCP support to ChatGPT and their developer tools, the protocol was originally developed by Anthropic and is now supported across multiple AI platforms including Claude, ChatGPT, and various development environments.
How does Natoma handle security and access control?
Natoma enforces least-privilege access on every tool call using conditional access policies based on user attributes. The platform includes OAuth 2.1 authentication, SSO/SAML/SCIM support, audit logs with SIEM integration, DLP filters, and blocks risky actions like lateral movement, privilege escalation, and unauthorized data modifications. With MCP discovery, Natoma identifies an average of 225 Shadow AI instances per enterprise, bringing unmanaged connections under centralized governance.
Can I try Natoma for free?
Yes, Natoma offers a free plan with 5 MCP servers, up to 5 users, 5,000 tool calls per month, MCP discovery, desktop MCPs, and email support. This allows teams to test AI integration capabilities before upgrading to Pro or Enterprise plans with unlimited servers and advanced features.