troubleshoot-mcp-server
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A Model Context Protocol (MCP) server for AI models to interact with Kubernetes support bundles.
The MCP Server for Kubernetes Support Bundles is designed to facilitate AI models in analyzing and troubleshooting Kubernetes clusters by interacting with support bundles generated by the Troubleshoot tool. This server provides a robust platform for managing, exploring, and executing commands within Kubernetes support bundles. It supports secure, token-based authentication and can be deployed as a containerized application, making it versatile and easy to integrate into existing infrastructures. The server is built to handle various operations such as bundle management, command execution, and file exploration, providing a comprehensive toolset for AI-driven diagnostics and analysis.
Features
- Bundle Management: Initialize and manage Kubernetes support bundles.
- Command Execution: Run kubectl commands against bundle's API server.
- File Explorer: Navigate and search files within the bundle.
- Secure Authentication: Token-based authentication for bundle access.
- Container Support: Run as a containerized application.
Tools
initialize_bundle
Initialize a support bundle for use.
kubectl
Execute kubectl commands against the bundle.
list_files
List files and directories.
read_file
Read file contents.
grep_files
Search for patterns in files.
