Kubernetes Tools
Provides a comprehensive suite of Python functions and an MCP server for interacting with Kubernetes clusters, primarily for building intelligent agents.
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Kubernetes Tools offers a robust collection of Python functions designed for building intelligent agents that interact with Kubernetes clusters. It emphasizes quality, strong typing, and comprehensive documentation for its tools, which can either be integrated directly into agents or accessed via an included MCP server. The toolkit prioritizes read-only operations for monitoring and root cause analysis, ensuring safe interaction with your cluster, and supports various output formats including Pydantic models and dictionaries for flexible data consumption.
Características Principales
- Well-documented and strongly typed Kubernetes functions for agents.
- Includes an MCP server with stdio and streamable HTTP transports.
- Focuses on read-only operations for safe cluster monitoring and RCA.
- Provides tools mimicking kubectl output and detailed Kubernetes client types.
- Offers mock tools for testing against static data without a live cluster.
- 2 GitHub stars
Casos de Uso
- Build custom agents for cluster monitoring or root cause analysis.
- Chat with your Kubernetes cluster using AI coding assistants like GitHub CoPilot or Cursor.
- Integrate Kubernetes data into custom chat UIs or non-agentic automations.
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