Cyclops MCP Server

Cyclops MCP (Model Context Protocol) bridges the gap between conversational AI assistants and Kubernetes infrastructure, allowing agents to orchestrate applications without exposing raw YAML or risking misconfigurations. By abstracting the underlying complexity of Kubernetes manifests, the server lets developers focus on business logic while the AI handles deployment details. This is especially valuable in environments where rapid iteration and continuous delivery are critical, as it reduces the learning curve for new team members and lowers the risk of accidental drift in production.

At its core, Cyclops MCP exposes a set of tools that operate on Cyclops Modules—high‑level, declarative representations of Kubernetes workloads. Instead of editing individual Deployments, Services, or Ingresses, an AI can request the creation or update of a module. The server consults the existing template library and schema to validate inputs, ensuring that every change is syntactically correct and aligns with best practices. This validation layer catches common pitfalls such as missing resource limits or incorrect image tags before they reach the cluster, dramatically improving reliability.

The server’s capabilities are tailored for seamless integration with AI workflows. It exposes an SSE endpoint that agents can subscribe to, receiving real‑time feedback on actions, status updates, and error messages. Developers can configure the MCP through environment variables or a simple JSON snippet, allowing it to run either as a sidecar inside the cluster or as an external service that talks to the Kubernetes API via a kubeconfig. Once connected, agents can invoke high‑level operations—such as “deploy a new microservice” or “scale the web tier”—and receive instant, structured responses that can be fed back into the conversation.

Real‑world scenarios include automated CI/CD pipelines where a natural language request triggers the creation of a new release, or an incident response system that lets operators roll back to a previous module state with a single command. Because Cyclops MCP validates against a shared template repository, teams maintain consistency across environments and avoid configuration drift. The abstraction also empowers non‑technical stakeholders to request infrastructure changes through conversational interfaces, democratizing access while keeping operations secure and auditable.