AI Agent Enablement for the Enterprise

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.