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Cyclops MCP enables AI agents to manage Kubernetes applications via high-level Cyclops Modules, abstracting complexity and ensuring production-ready deployments.
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Cyclops MCP enables AI agents to manage Kubernetes applications via high-level Cyclops Modules, abstracting complexity and ensuring production-ready deployments.
Cyclops MCP provides a layer of abstraction to manage Kubernetes resources, reducing the risk of misconfigurations. However, the ability to create, update, and delete modules means that a compromised or poorly configured agent could still cause significant damage. It is safe when used with a trusted agent and properly configured RBAC, but risky if exposed without proper authentication and authorization.
Performance depends on the complexity of the Cyclops Modules and the underlying Kubernetes cluster. Large or complex modules may take longer to create or update.
Cost depends on the resources consumed by the MCP server and the Kubernetes resources managed by the Cyclops Modules. Consider the cost of running the server and the resources it manages.
{
"mcpServers": {
"mcp-cyclops": {
"command": "mcp-cyclops"
}
}
}GOBINcreate_moduleCreates a new Cyclops Module in the Kubernetes cluster.
Creates Kubernetes resources, potentially impacting the cluster's state.
get_moduleFetches a Cyclops Module by its name.
Read-only operation, no side effects.
list_modulesLists all Cyclops Modules in the cluster.
Read-only operation, no side effects.
update_moduleUpdates an existing Cyclops Module by its name.
Modifies existing Kubernetes resources, potentially disrupting running applications.
get_template_schemaReturns the JSON schema for a given template.
Read-only operation, used for validation.
get_template_storeFetches a Template Store by Name
Read-only operation, no side effects.
list_template_storeLists Template Stores from cluster
Read-only operation, no side effects.
None
cloud
Cyclops MCP provides a layer of abstraction to manage Kubernetes resources, reducing the risk of misconfigurations. However, the ability to create, update, and delete modules means that a compromised or poorly configured agent could still cause significant damage. It is safe when used with a trusted agent and properly configured RBAC, but risky if exposed without proper authentication and authorization.
The agent has full read/write access to the Kubernetes cluster via Cyclops Modules. Ensure the agent is trusted and properly configured to prevent unintended consequences.
Production Tip
Implement robust monitoring and alerting to detect and respond to any unexpected behavior from the AI agent.
Cyclops MCP is a server that allows AI agents to manage Kubernetes applications through Cyclops Modules, abstracting away the complexity of Kubernetes.
You can install Cyclops MCP through the Cyclops UI, via binary, or by applying the provided YAML manifest to your Kubernetes cluster.
Cyclops Modules are high-level resources that represent applications or infrastructure components, simplifying their management in Kubernetes.
You need to provide the agent with the URL of the Cyclops MCP server, typically in a JSON configuration file.
You can use environment variables like KUBECONFIG, CYCLOPS_KUBE_CONTEXT, and CYCLOPS_MODULE_NAMESPACE to configure the server's behavior.
Ensure proper authentication and authorization for the MCP server, carefully configure KUBECONFIG, and monitor the agent's activity for any unexpected behavior.
Yes, Cyclops MCP can manage Helm releases through Cyclops Modules, allowing you to automate deployments and updates.