MCP security: Containerization and Red Hat OpenShift integration

In our previous 3 articles, we laid the groundwork for a protected Model Context Protocol (MCP) ecosystem by analyzing the current threat landscape, implementing robust authentication and authorization, and exploring critical logging and runtime security measures. These focused on who can access what, and how to monitor those interactions. Now, we'll shift the focus to the physical and virtual environments in which these systems live. 

Of course, security-focused development is only half the battle. Deploying an MCP server with weak security protections can negate even the most robust code, as shown by recent incidents like the "NeighborJack" attacks where unauthenticated, publicly exposed servers were exploited simply because they were bound to unsafe network interfaces. As the industry moves toward highly autonomous agentic AI, the stakes for protecting and securing deployments have never been higher. 

In this article, we discuss how to leverage Red Hat technology—specifically containerization and Red Hat OpenShift—to create a "security-first" deployment that uses non-root containers, read-only filesystems, and strict network policies so your MCP servers are more effectively protected in production.

Protecting your infrastructure

While robust code is essential, your MCP server’s security posture depends on its environment. Red Hat recommends deploying MCP servers within containers to make use of built-in isolation and kernel-level security features. By integrating with OpenShift, you gain immediate access to advanced security-focused defaults that can help significantly harden your deployment. For a truly "security-first" MCP deployment, your strategy should focus on the following 3 core pillars:

1. Hardening the runtime environment

To prevent an attacker from gaining a foothold, you must restrict what the container can do at the operating system (OS) level.

• Run as non-root: MCP servers should never run with root privileges. This makes sure that even if a tool is compromised—perhaps via a prompt injection—the attacker cannot access host-level files or device interfaces.
• Enforce a read-only filesystem: Mounting the root filesystem as read-only guards against "tool poisoning" and unauthorized persistence. By restricting writes to specific directories like /tmp, it's more difficult for an attacker to modify the server’s behavior or implant malware.
• Drop dangerous capabilities: Most MCP functions, like API calls or file I/O, do not require advanced kernel permissions. By explicitly dropping all Linux capabilities, for example, using capDrop: ["ALL"]), you prevent privilege escalation via the kernel.

2. Minimizing the attack surface

Reducing the "blast radius" of a potential compromise starts with the container image itself.

• Use minimal base images: Build your servers using universal base image (UBI) "minimal" or "distroless" images. By excluding shells, compilers, and unnecessary utilities, you remove the very tools an attacker would need to move laterally after a breach.
• Automated scanning with Red Hat Quay: Hosting your images in Quay allows for continuous vulnerability scanning. This makes sure that your Python or Node.js dependencies don't introduce known common vulnerabilities and exposures (CVEs) into your production environment.
• Kernel hardening: On OpenShift, you should maintain default SELinux enforcement and apply seccomp profiles that limit the server to essential system calls for network and file operations.

3. Network isolation and traffic control

Finally, you must strictly control how your MCP server communicates with the rest of your infrastructure.

• Zero-trust networking: Use OpenShift NetworkPolicies to make sure only authorized services—such as a specific agent gateway—can reach your MCP server.
• Protected egress: If your server needs to call external APIs, like a weather or data tool, restrict outbound traffic to only those specific domains.
• Advanced protection: For high-sensitivity environments, Red Hat OpenShift Service Mesh can provide mutual transport layer security mTLS and per-client authentication, adding a layer of identity-based security on top of your application-level OAuth.

By moving beyond simple deployment and embracing these OpenShift-native security-focused capabilities, you create a resilient foundation that helps protect your MCP tools from external threats and internal exploits.

Final thoughts

Deploying an MCP server is more than just getting code to run. It is about creating a fortified perimeter that can withstand the unique pressures of an AI-driven ecosystem. As we’ve explored in this post, the integration of Red Hat OpenShift and containerization helps provide the necessary guardrails—from non-root execution to strict network policies—to help prevent your tools from becoming a liability. 

Treat your deployment environment with the same security-focused rigor as your source code. By doing so, you help bridge the gap between a functional proof of concept and a resilient, production-ready service. As you develop more and more powerful agentic AI systems, staying grounded in these infrastructure best practices will help you defend against both current vulnerabilities and the emerging threats of tomorrow.