CAPI
Enables AI agents to manage Kubernetes clusters by providing a secure, standardized interface to the Cluster API (CAPI).
About
The CAPI server acts as a bridge between AI agents (Model Context Protocol clients) and Kubernetes Cluster API (CAPI) management clusters. It abstracts the complexities of CAPI into a set of simple, reliable operations, empowering AI agents to programmatically manage Kubernetes cluster lifecycles, including creation, deletion, scaling, and retrieving cluster details. Its design prioritizes security, observability, and extensibility, featuring API key authentication, RBAC, structured logging, and support for multi-cloud providers.
Key Features
- Structured logging and Prometheus metrics for observability
- Modular and extensible architecture for multi-cloud support
- Comprehensive cluster lifecycle management operations (create, delete, scale, get)
- API key authentication and Kubernetes RBAC for secure access
- Support for AWS infrastructure via Cluster API Provider for AWS (CAPA)
- 1 GitHub stars
Use Cases
- Enabling AI agents to retrieve detailed information and access credentials for managed clusters
- Automating Kubernetes cluster provisioning and de-provisioning via AI agents
- Allowing AI-driven systems to dynamically scale Kubernetes workload clusters
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