Introducing Natoma’s easy-to-use, enterprise-ready MCP Platform

AI’s promise—both practical and magical—has become the topic among CIOs, CISOs, and technical practitioners alike. One of the most thrilling developments is the rise of agentic AI: systems capable of operating with considerable autonomy. As more users and enterprises embrace agentic AI, they grapple with expanding their capabilities as they need to integrate with their systems and the challenge of managing these non-human actors, especially when their activities blur the lines between user and automated client.

Anthropic’s Model Context Protocol (MCP) marks the next step in the evolution of APIs to solve the challenge of integrating AI agents with services and provide a streamlined approach to structured system communication and address the first challenge.

While the potential that MCP unlocks is groundbreaking, it also introduces the new complexity of understanding one more protocol, building new servers, and figuring out how to integrate it into your systems. 

Today, we are thrilled to announce the launch of Natoma’s hosted MCP offering, which provides the access layer for agentic AI with centrally managed authentication.

🔧  A hassle-free solution to agentic AI adoption

Natoma's Hosted MCP Platform is the fastest, easiest, and most intuitive way to empower your AI agents to interact seamlessly with your applications and data. Gone are the days of complex API integrations, version management, and tedious server configurations. Natoma delivers pure simplicity, so you can focus on what matters most. And it’s easy to deploy and manage – in literally three steps, start using our cloud-hosted MCP servers to deploy agentic AI at scale:

• Connect LLMs & AI apps to tools & data sources in a consistent and structured way. And it’s getting easier by the day!

• Authenticated tool access and governance policies to control access and monitor AI agent behavior.

• Secure Tracing and Audits for full visibility over every tool and action, backed by robust logs and reporting.

🛡️ Enterprise-Grade Controls for Agentic AI

MCP is an RPC-based layer that abstracts existing APIs, making it simpler for different stakeholders to integrate AI agents into your data and tools. This translates into distinct benefits: developers can connect to any MCP server with zero additional work; applications need only publish one MCP server to see broad adoption; end users enjoy richer AI experiences; and enterprises gain a clear separation of concerns among AI teams. The benefits are far-reaching, and we are excited about the future of MCP. 

However, this introduces new challenges for enterprises—we can't simply allow open access to everything. Organizations require robust mechanisms to ensure secure identity verification (knowing exactly who or what is accessing data—users, applications, or agents), effective RBAC authorization (controlling precisely what actions and resources they're permitted to access), and comprehensive data security

Natoma’s platform builds upon the MCP roadmap with robust, enterprise-specific controls for MCP. We host verified MCP servers, so you can tap into a powerful ecosystem without spinning up additional infrastructure to manage in-house. Meanwhile, built-in identity and authorization safeguards ensure that AI agents only perform actions you’ve explicitly allowed. Our Non-Human Identity (NHI) security system offers granular policy enforcement, auditing, and observability, so you always know what your AI agents are doing, no matter how many tools or data sources they touch. 

Natoma’s Managed MCP Platform is available today in beta to enable you to drive secure, innovative AI experiences across your organization—we look forward to partnering with you on this journey into the future of agentic AI. Give it a try here.